package tarantula.experiment.math;

import junit.framework.*;

public class MathTestsForTarantula1 extends TestCase {

  // Runs all the tests in this file.
  public static void main(String[] args) {
    junit.textui.TestRunner.run(MathTestsForTarantula1.class);
  }

  public void test1() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var7};
    org.apache.commons.math.linear.OpenMapRealVector var9 = new org.apache.commons.math.linear.OpenMapRealVector(var8);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var10};
    org.apache.commons.math.linear.OpenMapRealVector var12 = new org.apache.commons.math.linear.OpenMapRealVector(var11);
    org.apache.commons.math.linear.OpenMapRealVector var13 = var9.add(var12);
    org.apache.commons.math.linear.OpenMapRealVector var14 = new org.apache.commons.math.linear.OpenMapRealVector(var13);
    boolean var15 = var14.isNaN();
    org.apache.commons.math.linear.RealVector var16 = var5.projection((org.apache.commons.math.linear.RealVector)var14);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(100.0d);
    double[] var19 = new double[] { var17, var18};
    org.apache.commons.math.linear.OpenMapRealVector var20 = var14.append(var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(0.0d);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    double[] var24 = new double[] { var21, var22, var23};
    org.apache.commons.math.linear.ArrayRealVector var25 = new org.apache.commons.math.linear.ArrayRealVector(var24);
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    java.lang.Double var27 = new java.lang.Double(0.0d);
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    double[] var29 = new double[] { var26, var27, var28};
    org.apache.commons.math.linear.ArrayRealVector var30 = new org.apache.commons.math.linear.ArrayRealVector(var29);
    org.apache.commons.math.linear.RealVector var31 = var25.ebeDivide((org.apache.commons.math.linear.RealVector)var30);
    java.lang.Double var32 = new java.lang.Double(100.0d);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    double[] var35 = new double[] { var32, var33, var34};
    double var36 = var30.getL1Distance(var35);
    org.apache.commons.math.linear.RealVector var37 = var30.mapSignum();
    java.lang.Double var38 = new java.lang.Double(0.0d);
    java.lang.Double var39 = new java.lang.Double(100.0d);
    java.lang.Double var40 = new java.lang.Double(10.0d);
    double[] var41 = new double[] { var38, var39, var40};
    double var42 = var30.getDistance(var41);
    org.apache.commons.math.linear.RealVector var43 = var14.mapMultiply((double)var42);
    double var44 = org.apache.commons.math.util.MathUtils.indicator((double)var42);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var43 == null);

  }

  public void test2() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    java.lang.Double var11 = new java.lang.Double(10.0d);
    java.lang.Double var12 = new java.lang.Double(100.0d);
    int var13 = org.apache.commons.math.util.MathUtils.compareTo((double)var10, (double)var11, (double)var12);
    java.lang.Integer var14 = new java.lang.Integer(0);
    java.lang.Long var15 = new java.lang.Long(100L);
    int var16 = org.apache.commons.math.util.MathUtils.pow((int)var14, (long)var15);
    int var17 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var13, (int)var14);
    org.apache.commons.math.dfp.DfpField var18 = new org.apache.commons.math.dfp.DfpField(var13);
    org.apache.commons.math.dfp.Dfp var19 = var18.getOne();
    org.apache.commons.math.dfp.Dfp var20 = var8.newDfp(var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(10.0d);
    java.lang.Double var23 = new java.lang.Double(100.0d);
    int var24 = org.apache.commons.math.util.MathUtils.compareTo((double)var21, (double)var22, (double)var23);
    java.lang.Integer var25 = new java.lang.Integer(0);
    java.lang.Long var26 = new java.lang.Long(100L);
    int var27 = org.apache.commons.math.util.MathUtils.pow((int)var25, (long)var26);
    int var28 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var24, (int)var25);
    org.apache.commons.math.dfp.DfpField var29 = new org.apache.commons.math.dfp.DfpField(var24);
    org.apache.commons.math.dfp.Dfp var30 = var29.getOne();
    boolean var31 = var19.greaterThan(var30);
    int var32 = var19.log10();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);

  }

  public void test3() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    org.apache.commons.math.linear.OpenMapRealVector var7 = new org.apache.commons.math.linear.OpenMapRealVector(var6);
    boolean var8 = var7.isNaN();
    org.apache.commons.math.linear.RealVector var9 = var7.mapAcosToSelf();
    org.apache.commons.math.linear.RealVector var10 = var7.mapCos();
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    double[] var12 = new double[] { var11};
    org.apache.commons.math.linear.OpenMapRealVector var13 = new org.apache.commons.math.linear.OpenMapRealVector(var12);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var14};
    org.apache.commons.math.linear.OpenMapRealVector var16 = new org.apache.commons.math.linear.OpenMapRealVector(var15);
    org.apache.commons.math.linear.OpenMapRealVector var17 = var13.add(var16);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    double[] var19 = new double[] { var18};
    org.apache.commons.math.linear.OpenMapRealVector var20 = new org.apache.commons.math.linear.OpenMapRealVector(var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    double[] var22 = new double[] { var21};
    org.apache.commons.math.linear.OpenMapRealVector var23 = new org.apache.commons.math.linear.OpenMapRealVector(var22);
    org.apache.commons.math.linear.OpenMapRealVector var24 = var20.add(var23);
    double var25 = var16.dotProduct(var23);
    org.apache.commons.math.linear.RealVector var26 = var23.mapAtanToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var27 = var23.copy();
    java.lang.Double var28 = new java.lang.Double(0.0d);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double((-1.0d));
    int var31 = org.apache.commons.math.util.MathUtils.compareTo((double)var28, (double)var29, (double)var30);
    org.apache.commons.math.linear.RealVector var32 = var23.mapMultiply((double)var29);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    double[] var34 = new double[] { var33};
    org.apache.commons.math.linear.OpenMapRealVector var35 = new org.apache.commons.math.linear.OpenMapRealVector(var34);
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    double[] var37 = new double[] { var36};
    org.apache.commons.math.linear.OpenMapRealVector var38 = new org.apache.commons.math.linear.OpenMapRealVector(var37);
    org.apache.commons.math.linear.OpenMapRealVector var39 = var35.add(var38);
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    double[] var41 = new double[] { var40};
    org.apache.commons.math.linear.OpenMapRealVector var42 = new org.apache.commons.math.linear.OpenMapRealVector(var41);
    java.lang.Double var43 = new java.lang.Double((-1.0d));
    double[] var44 = new double[] { var43};
    org.apache.commons.math.linear.OpenMapRealVector var45 = new org.apache.commons.math.linear.OpenMapRealVector(var44);
    org.apache.commons.math.linear.OpenMapRealVector var46 = var42.add(var45);
    double var47 = var38.dotProduct(var45);
    org.apache.commons.math.linear.RealVector var48 = var23.mapMultiplyToSelf((double)var47);
    org.apache.commons.math.linear.OpenMapRealVector var49 = var7.append(var48);
    org.apache.commons.math.linear.OpenMapRealVector var50 = new org.apache.commons.math.linear.OpenMapRealVector(var7);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var46 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var48 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var49 == null);

  }

  public void test4() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    org.apache.commons.math.complex.ComplexField var7 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var8 = var7.getZero();
    org.apache.commons.math.complex.Complex var9 = var8.sinh();
    double var10 = var8.getImaginary();
    double var11 = org.apache.commons.math.util.MathUtils.indicator((double)var10);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(0.0d);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var12, var13, var14};
    org.apache.commons.math.linear.ArrayRealVector var16 = new org.apache.commons.math.linear.ArrayRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    org.apache.commons.math.linear.RealVector var22 = var16.ebeDivide((org.apache.commons.math.linear.RealVector)var21);
    org.apache.commons.math.linear.RealVector var23 = var16.mapLog10ToSelf();
    java.lang.Double var24 = new java.lang.Double(1.0d);
    org.apache.commons.math.linear.RealVector var25 = var16.mapMultiplyToSelf((double)var24);
    double var26 = org.apache.commons.math.util.MathUtils.indicator((double)var24);
    java.lang.Double var27 = new java.lang.Double(0.0d);
    boolean var28 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var10, (double)var26, (double)var27);
    org.apache.commons.math.linear.OpenMapRealVector var29 = var6.mapAdd((double)var27);
    double[] var30 = var29.getData();
    int var31 = var29.getDimension();
    int var32 = var29.getMinIndex();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var7 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);

  }

  public void test5() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    java.lang.Double var11 = new java.lang.Double(10.0d);
    java.lang.Double var12 = new java.lang.Double(100.0d);
    int var13 = org.apache.commons.math.util.MathUtils.compareTo((double)var10, (double)var11, (double)var12);
    java.lang.Integer var14 = new java.lang.Integer(0);
    java.lang.Long var15 = new java.lang.Long(100L);
    int var16 = org.apache.commons.math.util.MathUtils.pow((int)var14, (long)var15);
    int var17 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var13, (int)var14);
    org.apache.commons.math.dfp.DfpField var18 = new org.apache.commons.math.dfp.DfpField(var13);
    org.apache.commons.math.dfp.Dfp var19 = var18.getOne();
    org.apache.commons.math.dfp.Dfp var20 = var8.newDfp(var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(10.0d);
    java.lang.Double var23 = new java.lang.Double(100.0d);
    int var24 = org.apache.commons.math.util.MathUtils.compareTo((double)var21, (double)var22, (double)var23);
    java.lang.Integer var25 = new java.lang.Integer(0);
    java.lang.Long var26 = new java.lang.Long(100L);
    int var27 = org.apache.commons.math.util.MathUtils.pow((int)var25, (long)var26);
    int var28 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var24, (int)var25);
    org.apache.commons.math.dfp.DfpField var29 = new org.apache.commons.math.dfp.DfpField(var24);
    org.apache.commons.math.dfp.Dfp var30 = var29.getOne();
    boolean var31 = var19.greaterThan(var30);
    java.lang.Byte var32 = new java.lang.Byte((byte)0);
    org.apache.commons.math.dfp.Dfp var33 = var30.newInstance((byte)var32);
    byte var34 = org.apache.commons.math.util.MathUtils.indicator((byte)var32);
    byte var35 = org.apache.commons.math.util.MathUtils.indicator((byte)var34);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);

  }

  public void test6() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    org.apache.commons.math.dfp.Dfp var10 = var8.getOne();
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    java.lang.Integer var15 = new java.lang.Integer(0);
    java.lang.Long var16 = new java.lang.Long(100L);
    int var17 = org.apache.commons.math.util.MathUtils.pow((int)var15, (long)var16);
    int var18 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var14, (int)var15);
    org.apache.commons.math.dfp.DfpField var19 = new org.apache.commons.math.dfp.DfpField(var14);
    org.apache.commons.math.dfp.Dfp var20 = var19.getOne();
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(10.0d);
    java.lang.Double var23 = new java.lang.Double(100.0d);
    int var24 = org.apache.commons.math.util.MathUtils.compareTo((double)var21, (double)var22, (double)var23);
    java.lang.Integer var25 = new java.lang.Integer(0);
    java.lang.Long var26 = new java.lang.Long(100L);
    int var27 = org.apache.commons.math.util.MathUtils.pow((int)var25, (long)var26);
    int var28 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var24, (int)var25);
    org.apache.commons.math.dfp.DfpField var29 = new org.apache.commons.math.dfp.DfpField(var24);
    org.apache.commons.math.dfp.Dfp var30 = var29.getOne();
    org.apache.commons.math.dfp.Dfp var31 = var19.newDfp(var30);
    java.lang.Double var32 = new java.lang.Double((-1.0d));
    java.lang.Double var33 = new java.lang.Double(10.0d);
    java.lang.Double var34 = new java.lang.Double(100.0d);
    int var35 = org.apache.commons.math.util.MathUtils.compareTo((double)var32, (double)var33, (double)var34);
    java.lang.Integer var36 = new java.lang.Integer(0);
    java.lang.Long var37 = new java.lang.Long(100L);
    int var38 = org.apache.commons.math.util.MathUtils.pow((int)var36, (long)var37);
    int var39 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var35, (int)var36);
    org.apache.commons.math.dfp.DfpField var40 = new org.apache.commons.math.dfp.DfpField(var35);
    org.apache.commons.math.dfp.Dfp var41 = var40.getOne();
    boolean var42 = var30.greaterThan(var41);
    java.lang.Integer var43 = new java.lang.Integer(100);
    java.lang.Double var44 = new java.lang.Double((-1.0d));
    java.lang.Double var45 = new java.lang.Double(10.0d);
    java.lang.Double var46 = new java.lang.Double(100.0d);
    int var47 = org.apache.commons.math.util.MathUtils.compareTo((double)var44, (double)var45, (double)var46);
    int var48 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var43, (int)var47);
    org.apache.commons.math.dfp.Dfp var49 = org.apache.commons.math.dfp.DfpMath.pow(var41, (int)var48);
    org.apache.commons.math.dfp.Dfp var50 = org.apache.commons.math.dfp.DfpMath.pow(var10, var41);
    java.lang.Double var51 = new java.lang.Double((-1.0d));
    java.lang.Double var52 = new java.lang.Double(10.0d);
    java.lang.Double var53 = new java.lang.Double(100.0d);
    int var54 = org.apache.commons.math.util.MathUtils.compareTo((double)var51, (double)var52, (double)var53);
    java.lang.Integer var55 = new java.lang.Integer(0);
    java.lang.Long var56 = new java.lang.Long(100L);
    int var57 = org.apache.commons.math.util.MathUtils.pow((int)var55, (long)var56);
    int var58 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var54, (int)var55);
    org.apache.commons.math.dfp.DfpField var59 = new org.apache.commons.math.dfp.DfpField(var54);
    java.lang.Double var60 = new java.lang.Double((-1.0d));
    java.lang.Double var61 = new java.lang.Double(0.0d);
    java.lang.Double var62 = new java.lang.Double((-1.0d));
    double[] var63 = new double[] { var60, var61, var62};
    org.apache.commons.math.linear.ArrayRealVector var64 = new org.apache.commons.math.linear.ArrayRealVector(var63);
    java.lang.Double var65 = new java.lang.Double((-1.0d));
    java.lang.Double var66 = new java.lang.Double(0.0d);
    java.lang.Double var67 = new java.lang.Double((-1.0d));
    double[] var68 = new double[] { var65, var66, var67};
    org.apache.commons.math.linear.ArrayRealVector var69 = new org.apache.commons.math.linear.ArrayRealVector(var68);
    org.apache.commons.math.linear.RealVector var70 = var64.ebeDivide((org.apache.commons.math.linear.RealVector)var69);
    org.apache.commons.math.linear.RealVector var71 = var64.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var72 = var64.mapInvToSelf();
    double[] var73 = new double[] { };
    org.apache.commons.math.linear.ArrayRealVector var74 = new org.apache.commons.math.linear.ArrayRealVector(var64, var73);
    org.apache.commons.math.linear.RealVector var75 = var64.mapCbrt();
    org.apache.commons.math.linear.RealVector var76 = var64.mapExpm1ToSelf();
    java.lang.String var77 = var64.toString();
    org.apache.commons.math.dfp.Dfp var78 = var59.newDfp(var77);
    org.apache.commons.math.dfp.Dfp var79 = var10.add(var78);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var49 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var50 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var63 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var68 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var70 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var71 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var72 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var73 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var75 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var76 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var78 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var79 == null);

  }

  public void test7() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var7};
    org.apache.commons.math.linear.OpenMapRealVector var9 = new org.apache.commons.math.linear.OpenMapRealVector(var8);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var10};
    org.apache.commons.math.linear.OpenMapRealVector var12 = new org.apache.commons.math.linear.OpenMapRealVector(var11);
    org.apache.commons.math.linear.OpenMapRealVector var13 = var9.add(var12);
    double var14 = var5.dotProduct(var12);
    org.apache.commons.math.linear.RealVector var15 = var12.mapAtanToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var16 = var12.copy();
    java.lang.Double var17 = new java.lang.Double(0.0d);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    int var20 = org.apache.commons.math.util.MathUtils.compareTo((double)var17, (double)var18, (double)var19);
    org.apache.commons.math.linear.RealVector var21 = var12.mapMultiply((double)var18);
    org.apache.commons.math.linear.RealVector var22 = var12.mapFloor();
    org.apache.commons.math.linear.RealVector var23 = var12.mapTanToSelf();
    org.apache.commons.math.linear.RealVector var24 = var12.mapCosToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);

  }

  public void test8() throws Throwable {

    org.apache.commons.math.complex.ComplexField var0 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var1 = var0.getZero();
    org.apache.commons.math.complex.Complex var2 = var0.getOne();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);

  }

  public void test9() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    org.apache.commons.math.linear.RealVector var15 = var9.mapPowToSelf((double)var13);
    java.lang.Double[] var16 = new java.lang.Double[] { var13};
    org.apache.commons.math.linear.ArrayRealVector var17 = new org.apache.commons.math.linear.ArrayRealVector(var16);
    org.apache.commons.math.linear.RealVector var18 = var17.mapCbrtToSelf();
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var19};
    org.apache.commons.math.linear.OpenMapRealVector var21 = new org.apache.commons.math.linear.OpenMapRealVector(var20);
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    double[] var23 = new double[] { var22};
    org.apache.commons.math.linear.OpenMapRealVector var24 = new org.apache.commons.math.linear.OpenMapRealVector(var23);
    org.apache.commons.math.linear.OpenMapRealVector var25 = var21.add(var24);
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    double[] var27 = new double[] { var26};
    org.apache.commons.math.linear.OpenMapRealVector var28 = new org.apache.commons.math.linear.OpenMapRealVector(var27);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    double[] var30 = new double[] { var29};
    org.apache.commons.math.linear.OpenMapRealVector var31 = new org.apache.commons.math.linear.OpenMapRealVector(var30);
    org.apache.commons.math.linear.OpenMapRealVector var32 = var28.add(var31);
    double var33 = var24.dotProduct(var31);
    org.apache.commons.math.linear.RealVector var34 = var31.mapAtanToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var35 = var31.copy();
    java.lang.Double var36 = new java.lang.Double(0.0d);
    java.lang.Double var37 = new java.lang.Double((-1.0d));
    java.lang.Double var38 = new java.lang.Double((-1.0d));
    int var39 = org.apache.commons.math.util.MathUtils.compareTo((double)var36, (double)var37, (double)var38);
    org.apache.commons.math.linear.RealVector var40 = var31.mapMultiply((double)var37);
    org.apache.commons.math.linear.RealVector var41 = var17.mapMultiplyToSelf((double)var37);
    org.apache.commons.math.linear.RealVector var42 = var17.mapSqrt();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);

  }

  public void test10() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    java.lang.Integer var10 = new java.lang.Integer(10);
    java.lang.Integer var11 = new java.lang.Integer(10);
    double var12 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var10, (int)var11);
    java.lang.Integer var13 = new java.lang.Integer(0);
    java.lang.Long var14 = new java.lang.Long(100L);
    int var15 = org.apache.commons.math.util.MathUtils.pow((int)var13, (long)var14);
    double var16 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var11, (int)var13);
    org.apache.commons.math.dfp.Dfp var17 = var8.newDfp((int)var13);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    java.lang.Double var19 = new java.lang.Double(10.0d);
    java.lang.Double var20 = new java.lang.Double(100.0d);
    int var21 = org.apache.commons.math.util.MathUtils.compareTo((double)var18, (double)var19, (double)var20);
    java.lang.Integer var22 = new java.lang.Integer(0);
    java.lang.Long var23 = new java.lang.Long(100L);
    int var24 = org.apache.commons.math.util.MathUtils.pow((int)var22, (long)var23);
    int var25 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var21, (int)var22);
    org.apache.commons.math.dfp.DfpField var26 = new org.apache.commons.math.dfp.DfpField(var21);
    org.apache.commons.math.dfp.Dfp var27 = var26.getOne();
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    java.lang.Double var29 = new java.lang.Double(10.0d);
    java.lang.Double var30 = new java.lang.Double(100.0d);
    int var31 = org.apache.commons.math.util.MathUtils.compareTo((double)var28, (double)var29, (double)var30);
    java.lang.Integer var32 = new java.lang.Integer(0);
    java.lang.Long var33 = new java.lang.Long(100L);
    int var34 = org.apache.commons.math.util.MathUtils.pow((int)var32, (long)var33);
    int var35 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var31, (int)var32);
    org.apache.commons.math.dfp.DfpField var36 = new org.apache.commons.math.dfp.DfpField(var31);
    org.apache.commons.math.dfp.Dfp var37 = var36.getOne();
    org.apache.commons.math.dfp.Dfp var38 = var26.newDfp(var37);
    java.lang.Double var39 = new java.lang.Double((-1.0d));
    java.lang.Double var40 = new java.lang.Double(10.0d);
    java.lang.Double var41 = new java.lang.Double(100.0d);
    int var42 = org.apache.commons.math.util.MathUtils.compareTo((double)var39, (double)var40, (double)var41);
    java.lang.Integer var43 = new java.lang.Integer(0);
    java.lang.Long var44 = new java.lang.Long(100L);
    int var45 = org.apache.commons.math.util.MathUtils.pow((int)var43, (long)var44);
    int var46 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var42, (int)var43);
    org.apache.commons.math.dfp.DfpField var47 = new org.apache.commons.math.dfp.DfpField(var42);
    org.apache.commons.math.dfp.Dfp var48 = var47.getOne();
    boolean var49 = var37.greaterThan(var48);
    org.apache.commons.math.dfp.Dfp var50 = new org.apache.commons.math.dfp.Dfp(var48);
    org.apache.commons.math.dfp.Dfp var51 = var8.newDfp(var50);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var48 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var51 == null);

  }

  public void test11() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var9.mapAsinToSelf();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(0.0d);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var12, var13, var14};
    org.apache.commons.math.linear.ArrayRealVector var16 = new org.apache.commons.math.linear.ArrayRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    org.apache.commons.math.linear.RealVector var22 = var16.ebeDivide((org.apache.commons.math.linear.RealVector)var21);
    java.lang.Double var23 = new java.lang.Double(100.0d);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    java.lang.Double var25 = new java.lang.Double((-1.0d));
    double[] var26 = new double[] { var23, var24, var25};
    double var27 = var21.getL1Distance(var26);
    org.apache.commons.math.linear.RealVector var28 = var21.mapSignum();
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double(0.0d);
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    double[] var32 = new double[] { var29, var30, var31};
    org.apache.commons.math.linear.ArrayRealVector var33 = new org.apache.commons.math.linear.ArrayRealVector(var32);
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    java.lang.Double var35 = new java.lang.Double(0.0d);
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    double[] var37 = new double[] { var34, var35, var36};
    org.apache.commons.math.linear.ArrayRealVector var38 = new org.apache.commons.math.linear.ArrayRealVector(var37);
    org.apache.commons.math.linear.RealVector var39 = var33.ebeDivide((org.apache.commons.math.linear.RealVector)var38);
    org.apache.commons.math.linear.ArrayRealVector var40 = var21.add(var33);
    org.apache.commons.math.linear.ArrayRealVector var41 = var9.ebeDivide(var33);
    org.apache.commons.math.linear.RealVector var42 = var41.mapAsinToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);

  }

  public void test12() throws Throwable {

    java.lang.Long var0 = new java.lang.Long(100L);
    java.lang.Long var1 = new java.lang.Long((-1L));
    long var2 = org.apache.commons.math.util.MathUtils.lcm((long)var0, (long)var1);
    java.lang.Long var3 = new java.lang.Long(100L);
    long var4 = org.apache.commons.math.util.MathUtils.mulAndCheck((long)var1, (long)var3);
    java.lang.Long var5 = new java.lang.Long(100L);
    java.lang.Integer var6 = new java.lang.Integer(0);
    java.lang.Long var7 = new java.lang.Long(100L);
    int var8 = org.apache.commons.math.util.MathUtils.pow((int)var6, (long)var7);
    long var9 = org.apache.commons.math.util.MathUtils.subAndCheck((long)var5, (long)var7);
    java.lang.Integer var10 = new java.lang.Integer(100);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    int var15 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var10, (int)var14);
    long var16 = org.apache.commons.math.util.MathUtils.pow((long)var9, (int)var15);
    java.lang.Long var17 = new java.lang.Long(100L);
    java.lang.Integer var18 = new java.lang.Integer(0);
    java.lang.Long var19 = new java.lang.Long(100L);
    int var20 = org.apache.commons.math.util.MathUtils.pow((int)var18, (long)var19);
    long var21 = org.apache.commons.math.util.MathUtils.subAndCheck((long)var17, (long)var19);
    long var22 = org.apache.commons.math.util.MathUtils.lcm((long)var9, (long)var21);
    java.lang.Long var23 = new java.lang.Long(100L);
    java.lang.Integer var24 = new java.lang.Integer(0);
    java.lang.Long var25 = new java.lang.Long(100L);
    int var26 = org.apache.commons.math.util.MathUtils.pow((int)var24, (long)var25);
    long var27 = org.apache.commons.math.util.MathUtils.subAndCheck((long)var23, (long)var25);
    java.lang.Integer var28 = new java.lang.Integer(100);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double(10.0d);
    java.lang.Double var31 = new java.lang.Double(100.0d);
    int var32 = org.apache.commons.math.util.MathUtils.compareTo((double)var29, (double)var30, (double)var31);
    int var33 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var28, (int)var32);
    long var34 = org.apache.commons.math.util.MathUtils.pow((long)var23, (int)var28);
    long var35 = org.apache.commons.math.util.MathUtils.subAndCheck((long)var21, (long)var23);
    long var36 = org.apache.commons.math.util.MathUtils.subAndCheck((long)var3, (long)var23);

  }

  public void test13() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    org.apache.commons.math.linear.OpenMapRealVector var7 = new org.apache.commons.math.linear.OpenMapRealVector(var6);
    boolean var8 = var7.isNaN();
    java.lang.Double var9 = new java.lang.Double((-1.0d));
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var9, var10};
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    org.apache.commons.math.optimization.linear.LinearObjectiveFunction var16 = new org.apache.commons.math.optimization.linear.LinearObjectiveFunction(var11, var13);
    org.apache.commons.math.linear.RealVector var17 = var7.mapDivideToSelf((double)var13);
    org.apache.commons.math.linear.OpenMapRealVector var18 = var7.unitVector();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);

  }

  public void test14() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(0.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    org.apache.commons.math.linear.RealVector var15 = var4.mapDivide((double)var12);
    java.lang.Double var16 = new java.lang.Double((-1.0d));
    java.lang.Double var17 = new java.lang.Double(0.0d);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    double[] var19 = new double[] { var16, var17, var18};
    org.apache.commons.math.linear.ArrayRealVector var20 = new org.apache.commons.math.linear.ArrayRealVector(var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(0.0d);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    double[] var24 = new double[] { var21, var22, var23};
    org.apache.commons.math.linear.ArrayRealVector var25 = new org.apache.commons.math.linear.ArrayRealVector(var24);
    org.apache.commons.math.linear.RealVector var26 = var20.ebeDivide((org.apache.commons.math.linear.RealVector)var25);
    org.apache.commons.math.linear.RealVector var27 = var20.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var28 = var20.mapInvToSelf();
    org.apache.commons.math.linear.ArrayRealVector var29 = var4.subtract(var20);
    org.apache.commons.math.linear.ArrayRealVector var30 = new org.apache.commons.math.linear.ArrayRealVector(var29);
    org.apache.commons.math.linear.RealVector var31 = var30.mapSinToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);

  }

  public void test15() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    boolean var7 = var6.isNaN();
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    double[] var9 = new double[] { var8};
    org.apache.commons.math.linear.OpenMapRealVector var10 = new org.apache.commons.math.linear.OpenMapRealVector(var9);
    org.apache.commons.math.linear.OpenMapRealVector var11 = var10.unitVector();
    double var12 = var6.getDistance(var10);
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    java.lang.Double var14 = new java.lang.Double(10.0d);
    java.lang.Double var15 = new java.lang.Double(100.0d);
    int var16 = org.apache.commons.math.util.MathUtils.compareTo((double)var13, (double)var14, (double)var15);
    java.lang.Integer var17 = new java.lang.Integer(0);
    java.lang.Long var18 = new java.lang.Long(100L);
    int var19 = org.apache.commons.math.util.MathUtils.pow((int)var17, (long)var18);
    int var20 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var16, (int)var17);
    org.apache.commons.math.dfp.DfpField var21 = new org.apache.commons.math.dfp.DfpField(var16);
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    java.lang.Double var23 = new java.lang.Double(0.0d);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    double[] var25 = new double[] { var22, var23, var24};
    org.apache.commons.math.linear.ArrayRealVector var26 = new org.apache.commons.math.linear.ArrayRealVector(var25);
    java.lang.Double var27 = new java.lang.Double((-1.0d));
    java.lang.Double var28 = new java.lang.Double(0.0d);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    double[] var30 = new double[] { var27, var28, var29};
    org.apache.commons.math.linear.ArrayRealVector var31 = new org.apache.commons.math.linear.ArrayRealVector(var30);
    org.apache.commons.math.linear.RealVector var32 = var26.ebeDivide((org.apache.commons.math.linear.RealVector)var31);
    org.apache.commons.math.linear.RealVector var33 = var26.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var34 = var26.mapInvToSelf();
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    java.lang.Double var36 = new java.lang.Double(0.0d);
    java.lang.Double var37 = new java.lang.Double((-1.0d));
    double[] var38 = new double[] { var35, var36, var37};
    org.apache.commons.math.linear.ArrayRealVector var39 = new org.apache.commons.math.linear.ArrayRealVector(var38);
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    java.lang.Double var41 = new java.lang.Double(0.0d);
    java.lang.Double var42 = new java.lang.Double((-1.0d));
    double[] var43 = new double[] { var40, var41, var42};
    org.apache.commons.math.linear.ArrayRealVector var44 = new org.apache.commons.math.linear.ArrayRealVector(var43);
    org.apache.commons.math.linear.RealVector var45 = var39.ebeDivide((org.apache.commons.math.linear.RealVector)var44);
    org.apache.commons.math.linear.RealVector var46 = var44.mapAsinToSelf();
    java.lang.Double var47 = new java.lang.Double((-1.0d));
    java.lang.Double var48 = new java.lang.Double(0.0d);
    java.lang.Double var49 = new java.lang.Double((-1.0d));
    double[] var50 = new double[] { var47, var48, var49};
    org.apache.commons.math.linear.ArrayRealVector var51 = new org.apache.commons.math.linear.ArrayRealVector(var50);
    java.lang.Double var52 = new java.lang.Double((-1.0d));
    java.lang.Double var53 = new java.lang.Double(0.0d);
    java.lang.Double var54 = new java.lang.Double((-1.0d));
    double[] var55 = new double[] { var52, var53, var54};
    org.apache.commons.math.linear.ArrayRealVector var56 = new org.apache.commons.math.linear.ArrayRealVector(var55);
    org.apache.commons.math.linear.RealVector var57 = var51.ebeDivide((org.apache.commons.math.linear.RealVector)var56);
    org.apache.commons.math.linear.RealVector var58 = var51.mapRintToSelf();
    org.apache.commons.math.linear.ArrayRealVector var59 = var44.ebeDivide(var51);
    org.apache.commons.math.linear.RealVector var60 = var51.mapFloorToSelf();
    org.apache.commons.math.linear.ArrayRealVector var61 = new org.apache.commons.math.linear.ArrayRealVector(var26, var60);
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.linear.MatrixIndexException with canonical name: org.apache.commons.math.linear.MatrixIndexException
    // This behavior will recorded for regression testing.
    try {
      var10.setSubVector((int)var16, (org.apache.commons.math.linear.RealVector)var61);
      fail("Expected exception of type org.apache.commons.math.linear.MatrixIndexException");
    } catch (org.apache.commons.math.linear.MatrixIndexException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var43 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var45 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var46 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var50 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var55 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var57 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var58 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var59 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var60 == null);

  }

  public void test16() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    java.lang.Double var15 = new java.lang.Double(1.0d);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    boolean var17 = org.apache.commons.math.util.MathUtils.equals((double)var15, (double)var16);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    java.lang.Double var19 = new java.lang.Double(10.0d);
    java.lang.Double var20 = new java.lang.Double(100.0d);
    int var21 = org.apache.commons.math.util.MathUtils.compareTo((double)var18, (double)var19, (double)var20);
    boolean var22 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var13, (double)var16, (double)var20);
    org.apache.commons.math.linear.RealVector var23 = var4.append((double)var16);
    org.apache.commons.math.linear.RealVector var24 = var4.mapAcos();
    double[] var25 = var4.toArray();
    java.lang.Double var26 = new java.lang.Double(1.0d);
    java.lang.Double var27 = new java.lang.Double(1.0d);
    boolean var28 = org.apache.commons.math.util.MathUtils.equals((double)var26, (double)var27);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double(10.0d);
    java.lang.Double var31 = new java.lang.Double(100.0d);
    int var32 = org.apache.commons.math.util.MathUtils.compareTo((double)var29, (double)var30, (double)var31);
    double var33 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var26, (double)var29);
    org.apache.commons.math.linear.RealVector var34 = var4.mapMultiplyToSelf((double)var33);
    int var35 = var4.getDimension();
    java.lang.Integer var36 = new java.lang.Integer(10);
    int var37 = org.apache.commons.math.util.MathUtils.indicator((int)var36);
    java.lang.Integer var38 = new java.lang.Integer(1);
    double var39 = org.apache.commons.math.util.MathUtils.binomialCoefficientDouble((int)var37, (int)var38);
    org.apache.commons.math.linear.RealVector var40 = var4.mapPowToSelf((double)var39);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);

  }

  public void test17() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var4.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var12 = var4.mapInvToSelf();
    double[] var13 = new double[] { };
    org.apache.commons.math.linear.ArrayRealVector var14 = new org.apache.commons.math.linear.ArrayRealVector(var4, var13);
    org.apache.commons.math.linear.RealVector var15 = var4.mapCbrt();
    java.lang.Double var16 = new java.lang.Double((-1.0d));
    java.lang.Double var17 = new java.lang.Double(0.0d);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    double[] var19 = new double[] { var16, var17, var18};
    org.apache.commons.math.linear.ArrayRealVector var20 = new org.apache.commons.math.linear.ArrayRealVector(var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(0.0d);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    double[] var24 = new double[] { var21, var22, var23};
    org.apache.commons.math.linear.ArrayRealVector var25 = new org.apache.commons.math.linear.ArrayRealVector(var24);
    org.apache.commons.math.linear.RealVector var26 = var20.ebeDivide((org.apache.commons.math.linear.RealVector)var25);
    org.apache.commons.math.linear.RealVector var27 = var25.mapAsinToSelf();
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    java.lang.Double var29 = new java.lang.Double(0.0d);
    java.lang.Double var30 = new java.lang.Double((-1.0d));
    double[] var31 = new double[] { var28, var29, var30};
    org.apache.commons.math.linear.ArrayRealVector var32 = new org.apache.commons.math.linear.ArrayRealVector(var31);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double(0.0d);
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    double[] var36 = new double[] { var33, var34, var35};
    org.apache.commons.math.linear.ArrayRealVector var37 = new org.apache.commons.math.linear.ArrayRealVector(var36);
    org.apache.commons.math.linear.RealVector var38 = var32.ebeDivide((org.apache.commons.math.linear.RealVector)var37);
    java.lang.Double var39 = new java.lang.Double(100.0d);
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    java.lang.Double var41 = new java.lang.Double((-1.0d));
    double[] var42 = new double[] { var39, var40, var41};
    double var43 = var37.getL1Distance(var42);
    org.apache.commons.math.linear.RealVector var44 = var37.mapSignum();
    java.lang.Double var45 = new java.lang.Double((-1.0d));
    java.lang.Double var46 = new java.lang.Double(0.0d);
    java.lang.Double var47 = new java.lang.Double((-1.0d));
    double[] var48 = new double[] { var45, var46, var47};
    org.apache.commons.math.linear.ArrayRealVector var49 = new org.apache.commons.math.linear.ArrayRealVector(var48);
    java.lang.Double var50 = new java.lang.Double((-1.0d));
    java.lang.Double var51 = new java.lang.Double(0.0d);
    java.lang.Double var52 = new java.lang.Double((-1.0d));
    double[] var53 = new double[] { var50, var51, var52};
    org.apache.commons.math.linear.ArrayRealVector var54 = new org.apache.commons.math.linear.ArrayRealVector(var53);
    org.apache.commons.math.linear.RealVector var55 = var49.ebeDivide((org.apache.commons.math.linear.RealVector)var54);
    org.apache.commons.math.linear.ArrayRealVector var56 = var37.add(var49);
    org.apache.commons.math.linear.ArrayRealVector var57 = var25.ebeDivide(var49);
    double var58 = var4.getDistance((org.apache.commons.math.linear.RealVector)var49);
    double var59 = var4.getLInfNorm();
    java.lang.Double var60 = new java.lang.Double(1.0d);
    java.lang.Double var61 = new java.lang.Double(0.0d);
    double[] var62 = new double[] { var60, var61};
    double var63 = org.apache.commons.math.util.MathUtils.safeNorm(var62);
    java.lang.Integer var64 = new java.lang.Integer(100);
    java.lang.Double var65 = new java.lang.Double((-1.0d));
    java.lang.Double var66 = new java.lang.Double(10.0d);
    java.lang.Double var67 = new java.lang.Double(100.0d);
    int var68 = org.apache.commons.math.util.MathUtils.compareTo((double)var65, (double)var66, (double)var67);
    int var69 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var64, (int)var68);
    java.lang.Integer var70 = new java.lang.Integer(100);
    java.lang.Double var71 = new java.lang.Double((-1.0d));
    java.lang.Double var72 = new java.lang.Double(10.0d);
    java.lang.Double var73 = new java.lang.Double(100.0d);
    int var74 = org.apache.commons.math.util.MathUtils.compareTo((double)var71, (double)var72, (double)var73);
    int var75 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var70, (int)var74);
    java.lang.Double var76 = new java.lang.Double((-1.0d));
    java.lang.Double var77 = new java.lang.Double(10.0d);
    java.lang.Double var78 = new java.lang.Double(100.0d);
    int var79 = org.apache.commons.math.util.MathUtils.compareTo((double)var76, (double)var77, (double)var78);
    int var80 = org.apache.commons.math.util.MathUtils.gcd((int)var74, (int)var79);
    int var81 = org.apache.commons.math.util.MathUtils.sign((int)var80);
    double var82 = org.apache.commons.math.util.MathUtils.round((double)var63, (int)var69, (int)var80);
    org.apache.commons.math.linear.RealVector var83 = var4.append((double)var63);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var48 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var53 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var55 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var56 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var57 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var62 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var83 == null);

  }

  public void test18() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var9.mapAsinToSelf();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(0.0d);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var12, var13, var14};
    org.apache.commons.math.linear.ArrayRealVector var16 = new org.apache.commons.math.linear.ArrayRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    org.apache.commons.math.linear.RealVector var22 = var16.ebeDivide((org.apache.commons.math.linear.RealVector)var21);
    org.apache.commons.math.linear.RealVector var23 = var16.mapRintToSelf();
    org.apache.commons.math.linear.ArrayRealVector var24 = var9.ebeDivide(var16);
    org.apache.commons.math.linear.RealVector var25 = var9.mapLog1pToSelf();
    org.apache.commons.math.linear.RealVector var26 = var9.mapCbrtToSelf();
    org.apache.commons.math.linear.RealVector var27 = var9.mapSinhToSelf();
    org.apache.commons.math.complex.ComplexField var28 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var29 = var28.getZero();
    double var30 = var29.getArgument();
    org.apache.commons.math.complex.Complex var31 = var29.exp();
    org.apache.commons.math.complex.Complex var32 = var31.sinh();
    boolean var33 = var31.isNaN();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var34 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var35 = var34.copy();
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    java.lang.Double var37 = new java.lang.Double(0.0d);
    double[] var38 = new double[] { var36, var37};
    var34.incrementAll(var38);
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    java.lang.Double var41 = new java.lang.Double(0.0d);
    java.lang.Double var42 = new java.lang.Double((-1.0d));
    double[] var43 = new double[] { var40, var41, var42};
    org.apache.commons.math.linear.ArrayRealVector var44 = new org.apache.commons.math.linear.ArrayRealVector(var43);
    java.lang.Double var45 = new java.lang.Double((-1.0d));
    java.lang.Double var46 = new java.lang.Double(0.0d);
    java.lang.Double var47 = new java.lang.Double((-1.0d));
    double[] var48 = new double[] { var45, var46, var47};
    org.apache.commons.math.linear.ArrayRealVector var49 = new org.apache.commons.math.linear.ArrayRealVector(var48);
    org.apache.commons.math.linear.RealVector var50 = var44.ebeDivide((org.apache.commons.math.linear.RealVector)var49);
    org.apache.commons.math.linear.RealVector var51 = var44.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var52 = var44.mapInvToSelf();
    org.apache.commons.math.linear.RealVector var53 = var44.mapCeilToSelf();
    double var54 = var44.getL1Norm();
    boolean var55 = var34.equals((java.lang.Object)var54);
    org.apache.commons.math.complex.Complex var56 = var31.multiply((double)var54);
    double var57 = var56.getArgument();
    org.apache.commons.math.linear.RealVector var58 = var9.mapPow((double)var57);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var43 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var48 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var50 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var51 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var52 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var53 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var56 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var58 == null);

  }

//  public void test19() throws Throwable {
//
//    double[] var0 = new double[] { };
//    java.lang.Double var1 = new java.lang.Double(0.0d);
//    java.lang.Double var2 = new java.lang.Double((-1.0d));
//    java.lang.Double var3 = new java.lang.Double(0.0d);
//    double[] var4 = new double[] { var1, var2, var3};
//    double var5 = org.apache.commons.math.util.MathUtils.distanceInf(var0, var4);
//    java.lang.Double var6 = new java.lang.Double(0.0d);
//    java.lang.Double var7 = new java.lang.Double((-1.0d));
//    java.lang.Double var8 = new java.lang.Double((-1.0d));
//    int var9 = org.apache.commons.math.util.MathUtils.compareTo((double)var6, (double)var7, (double)var8);
//    org.apache.commons.math.complex.Complex var10 = org.apache.commons.math.complex.ComplexUtils.polar2Complex((double)var5, (double)var6);
//    org.apache.commons.math.complex.Complex var11 = var10.cos();
//    org.apache.commons.math.complex.ComplexField var12 = org.apache.commons.math.complex.ComplexField.getInstance();
//    org.apache.commons.math.complex.Complex var13 = var12.getZero();
//    double var14 = var13.getArgument();
//    org.apache.commons.math.complex.Complex var15 = var10.subtract(var13);
//    org.apache.commons.math.complex.Complex var16 = var15.sinh();
//    org.apache.commons.math.complex.Complex var17 = var15.negate();
//    double var18 = var15.abs();
//    org.apache.commons.math.complex.ComplexField var19 = org.apache.commons.math.complex.ComplexField.getInstance();
//    org.apache.commons.math.complex.Complex var20 = var19.getZero();
//    double var21 = var20.getArgument();
//    org.apache.commons.math.complex.Complex var22 = var20.exp();
//    org.apache.commons.math.complex.Complex var23 = var22.sinh();
//    boolean var24 = var22.isNaN();
//    org.apache.commons.math.complex.ComplexField var25 = org.apache.commons.math.complex.ComplexField.getInstance();
//    org.apache.commons.math.complex.Complex var26 = var25.getZero();
//    org.apache.commons.math.complex.Complex var27 = var26.sinh();
//    double var28 = var26.getImaginary();
//    org.apache.commons.math.complex.Complex var29 = var26.tan();
//    org.apache.commons.math.complex.Complex var30 = var29.exp();
//    org.apache.commons.math.complex.Complex var31 = var22.multiply(var29);
//    org.apache.commons.math.complex.Complex var32 = var15.multiply(var31);
//    
//    // Checks the contract:  equals-hashcode on var11 and var22
//    assertTrue("Contract failed: equals-hashcode on var11 and var22", var11.equals(var22) ? var11.hashCode() == var22.hashCode() : true);
//    
//    // Checks the contract:  equals-hashcode on var11 and var30
//    assertTrue("Contract failed: equals-hashcode on var11 and var30", var11.equals(var30) ? var11.hashCode() == var30.hashCode() : true);
//    
//    // Checks the contract:  equals-hashcode on var22 and var11
//    assertTrue("Contract failed: equals-hashcode on var22 and var11", var22.equals(var11) ? var22.hashCode() == var11.hashCode() : true);
//    
//    // Checks the contract:  equals-hashcode on var30 and var11
//    assertTrue("Contract failed: equals-hashcode on var30 and var11", var30.equals(var11) ? var30.hashCode() == var11.hashCode() : true);
//
//  }

  public void test20() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(0.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    org.apache.commons.math.linear.RealVector var15 = var4.mapDivide((double)var12);
    java.lang.Double var16 = new java.lang.Double((-1.0d));
    java.lang.Double var17 = new java.lang.Double(0.0d);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    double[] var19 = new double[] { var16, var17, var18};
    org.apache.commons.math.linear.ArrayRealVector var20 = new org.apache.commons.math.linear.ArrayRealVector(var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(0.0d);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    double[] var24 = new double[] { var21, var22, var23};
    org.apache.commons.math.linear.ArrayRealVector var25 = new org.apache.commons.math.linear.ArrayRealVector(var24);
    org.apache.commons.math.linear.RealVector var26 = var20.ebeDivide((org.apache.commons.math.linear.RealVector)var25);
    org.apache.commons.math.linear.RealVector var27 = var20.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var28 = var20.mapInvToSelf();
    org.apache.commons.math.linear.ArrayRealVector var29 = var4.subtract(var20);
    org.apache.commons.math.linear.RealVector var30 = var29.mapCoshToSelf();
    org.apache.commons.math.linear.RealVector var31 = var29.mapCbrtToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);

  }

  public void test21() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    org.apache.commons.math.dfp.Dfp var10 = var8.getOne();
    org.apache.commons.math.dfp.Dfp var11 = var8.getSqr2();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Integer var16 = new java.lang.Integer(0);
    java.lang.Long var17 = new java.lang.Long(100L);
    int var18 = org.apache.commons.math.util.MathUtils.pow((int)var16, (long)var17);
    int var19 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var15, (int)var16);
    org.apache.commons.math.dfp.DfpField var20 = new org.apache.commons.math.dfp.DfpField(var15);
    org.apache.commons.math.dfp.Dfp var21 = var20.getOne();
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    java.lang.Double var23 = new java.lang.Double(10.0d);
    java.lang.Double var24 = new java.lang.Double(100.0d);
    int var25 = org.apache.commons.math.util.MathUtils.compareTo((double)var22, (double)var23, (double)var24);
    java.lang.Integer var26 = new java.lang.Integer(0);
    java.lang.Long var27 = new java.lang.Long(100L);
    int var28 = org.apache.commons.math.util.MathUtils.pow((int)var26, (long)var27);
    int var29 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var25, (int)var26);
    org.apache.commons.math.dfp.DfpField var30 = new org.apache.commons.math.dfp.DfpField(var25);
    org.apache.commons.math.dfp.Dfp var31 = var30.getOne();
    org.apache.commons.math.dfp.Dfp var32 = var20.newDfp(var31);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double(10.0d);
    java.lang.Double var35 = new java.lang.Double(100.0d);
    int var36 = org.apache.commons.math.util.MathUtils.compareTo((double)var33, (double)var34, (double)var35);
    java.lang.Integer var37 = new java.lang.Integer(0);
    java.lang.Long var38 = new java.lang.Long(100L);
    int var39 = org.apache.commons.math.util.MathUtils.pow((int)var37, (long)var38);
    int var40 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var36, (int)var37);
    org.apache.commons.math.dfp.DfpField var41 = new org.apache.commons.math.dfp.DfpField(var36);
    org.apache.commons.math.dfp.Dfp var42 = var41.getOne();
    boolean var43 = var31.greaterThan(var42);
    java.lang.Integer var44 = new java.lang.Integer(100);
    java.lang.Double var45 = new java.lang.Double((-1.0d));
    java.lang.Double var46 = new java.lang.Double(10.0d);
    java.lang.Double var47 = new java.lang.Double(100.0d);
    int var48 = org.apache.commons.math.util.MathUtils.compareTo((double)var45, (double)var46, (double)var47);
    int var49 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var44, (int)var48);
    org.apache.commons.math.dfp.Dfp var50 = org.apache.commons.math.dfp.DfpMath.pow(var42, (int)var49);
    org.apache.commons.math.dfp.Dfp var51 = var8.newDfp(var42);
    org.apache.commons.math.dfp.Dfp var52 = var8.getSqr2();
    org.apache.commons.math.dfp.Dfp var53 = var8.getSqr2Reciprocal();
    org.apache.commons.math.dfp.Dfp var54 = var8.getLn5();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var50 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var51 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var52 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var53 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var54 == null);

  }

  public void test22() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    org.apache.commons.math.linear.RealVector var15 = var9.mapPowToSelf((double)var13);
    java.lang.Integer var16 = new java.lang.Integer(10);
    int var17 = org.apache.commons.math.util.MathUtils.indicator((int)var16);
    java.lang.Integer var18 = new java.lang.Integer(10);
    int var19 = org.apache.commons.math.util.MathUtils.indicator((int)var18);
    org.apache.commons.math.linear.RealVector var20 = var9.getSubVector((int)var17, (int)var19);
    double var21 = var9.getL1Norm();
    double[] var22 = var9.getDataRef();
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    java.lang.Double var24 = new java.lang.Double(0.0d);
    java.lang.Double var25 = new java.lang.Double((-1.0d));
    double[] var26 = new double[] { var23, var24, var25};
    org.apache.commons.math.linear.ArrayRealVector var27 = new org.apache.commons.math.linear.ArrayRealVector(var26);
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    java.lang.Double var29 = new java.lang.Double(0.0d);
    java.lang.Double var30 = new java.lang.Double((-1.0d));
    double[] var31 = new double[] { var28, var29, var30};
    org.apache.commons.math.linear.ArrayRealVector var32 = new org.apache.commons.math.linear.ArrayRealVector(var31);
    org.apache.commons.math.linear.RealVector var33 = var27.ebeDivide((org.apache.commons.math.linear.RealVector)var32);
    org.apache.commons.math.linear.RealVector var34 = var32.mapAsinToSelf();
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    java.lang.Double var36 = new java.lang.Double(0.0d);
    java.lang.Double var37 = new java.lang.Double((-1.0d));
    double[] var38 = new double[] { var35, var36, var37};
    org.apache.commons.math.linear.ArrayRealVector var39 = new org.apache.commons.math.linear.ArrayRealVector(var38);
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    java.lang.Double var41 = new java.lang.Double(0.0d);
    java.lang.Double var42 = new java.lang.Double((-1.0d));
    double[] var43 = new double[] { var40, var41, var42};
    org.apache.commons.math.linear.ArrayRealVector var44 = new org.apache.commons.math.linear.ArrayRealVector(var43);
    org.apache.commons.math.linear.RealVector var45 = var39.ebeDivide((org.apache.commons.math.linear.RealVector)var44);
    org.apache.commons.math.linear.RealVector var46 = var39.mapRintToSelf();
    org.apache.commons.math.linear.ArrayRealVector var47 = var32.ebeDivide(var39);
    org.apache.commons.math.linear.RealVector var48 = var32.mapLog1pToSelf();
    org.apache.commons.math.linear.RealVector var49 = var32.mapExpToSelf();
    org.apache.commons.math.linear.RealVector var50 = var32.mapLogToSelf();
    org.apache.commons.math.linear.RealVector var51 = var9.add(var50);
    org.apache.commons.math.linear.RealVector var52 = var9.mapAtan();
    java.lang.Double var53 = new java.lang.Double((-1.0d));
    java.lang.Double var54 = new java.lang.Double(0.0d);
    java.lang.Double var55 = new java.lang.Double((-1.0d));
    double[] var56 = new double[] { var53, var54, var55};
    org.apache.commons.math.linear.ArrayRealVector var57 = new org.apache.commons.math.linear.ArrayRealVector(var56);
    java.lang.Double var58 = new java.lang.Double(1.0d);
    java.lang.Double var59 = new java.lang.Double(1.0d);
    boolean var60 = org.apache.commons.math.util.MathUtils.equals((double)var58, (double)var59);
    org.apache.commons.math.linear.RealVector var61 = var57.mapDivide((double)var59);
    java.lang.Double var62 = new java.lang.Double(100.0d);
    java.lang.Double var63 = new java.lang.Double(0.0d);
    double[] var64 = new double[] { var62, var63};
    java.lang.Double var65 = new java.lang.Double((-1.0d));
    java.lang.Double var66 = new java.lang.Double(0.0d);
    java.lang.Double var67 = new java.lang.Double((-1.0d));
    double[] var68 = new double[] { var65, var66, var67};
    org.apache.commons.math.linear.ArrayRealVector var69 = new org.apache.commons.math.linear.ArrayRealVector(var68);
    java.lang.Double var70 = new java.lang.Double((-1.0d));
    java.lang.Double var71 = new java.lang.Double(0.0d);
    java.lang.Double var72 = new java.lang.Double((-1.0d));
    double[] var73 = new double[] { var70, var71, var72};
    org.apache.commons.math.linear.ArrayRealVector var74 = new org.apache.commons.math.linear.ArrayRealVector(var73);
    org.apache.commons.math.linear.RealVector var75 = var69.ebeDivide((org.apache.commons.math.linear.RealVector)var74);
    org.apache.commons.math.linear.RealVector var76 = var69.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var77 = var69.mapInvToSelf();
    double[] var78 = new double[] { };
    org.apache.commons.math.linear.ArrayRealVector var79 = new org.apache.commons.math.linear.ArrayRealVector(var69, var78);
    org.apache.commons.math.linear.ArrayRealVector var80 = new org.apache.commons.math.linear.ArrayRealVector(var64, var79);
    java.util.Iterator var81 = var79.iterator();
    org.apache.commons.math.linear.OpenMapRealVector var82 = new org.apache.commons.math.linear.OpenMapRealVector((org.apache.commons.math.linear.RealVector)var79);
    org.apache.commons.math.linear.RealVector var83 = var57.ebeDivide((org.apache.commons.math.linear.RealVector)var79);
    org.apache.commons.math.linear.ArrayRealVector var84 = new org.apache.commons.math.linear.ArrayRealVector(var9, (org.apache.commons.math.linear.RealVector)var79);
    org.apache.commons.math.linear.RealVector var85 = var84.mapLogToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var43 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var45 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var46 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var47 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var48 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var49 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var50 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var51 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var52 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var56 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var61 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var64 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var68 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var73 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var75 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var76 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var77 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var78 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var81 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var83 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var85 == null);

  }

  public void test23() throws Throwable {

    org.apache.commons.math.complex.ComplexField var0 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var1 = var0.getZero();
    org.apache.commons.math.complex.Complex var2 = var1.sinh();
    double var3 = var1.getImaginary();
    org.apache.commons.math.complex.Complex var4 = var1.tan();
    org.apache.commons.math.complex.Complex var5 = var1.acos();
    org.apache.commons.math.complex.Complex var6 = var5.tan();
    double var7 = var6.getImaginary();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var5 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);

  }

  public void test24() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var4.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var12 = var4.mapInvToSelf();
    org.apache.commons.math.linear.RealVector var13 = var4.mapCeilToSelf();
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    java.lang.Double var15 = new java.lang.Double(0.0d);
    java.lang.Double var16 = new java.lang.Double((-1.0d));
    double[] var17 = new double[] { var14, var15, var16};
    org.apache.commons.math.linear.ArrayRealVector var18 = new org.apache.commons.math.linear.ArrayRealVector(var17);
    java.lang.Double var19 = new java.lang.Double(1.0d);
    java.lang.Double var20 = new java.lang.Double(1.0d);
    boolean var21 = org.apache.commons.math.util.MathUtils.equals((double)var19, (double)var20);
    org.apache.commons.math.linear.RealVector var22 = var18.mapDivide((double)var20);
    org.apache.commons.math.linear.ArrayRealVector var23 = var4.subtract(var18);
    double[] var24 = var18.toArray();
    java.lang.Double var25 = new java.lang.Double((-1.0d));
    double[] var26 = new double[] { var25};
    org.apache.commons.math.linear.OpenMapRealVector var27 = new org.apache.commons.math.linear.OpenMapRealVector(var26);
    int var28 = var27.getDimension();
    java.lang.Double var29 = new java.lang.Double(0.0d);
    java.lang.Double var30 = new java.lang.Double(0.0d);
    double[] var31 = new double[] { var29, var30};
    org.apache.commons.math.linear.RealVector var32 = var27.add(var31);
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.RealVector var33 = var18.ebeDivide((org.apache.commons.math.linear.RealVector)var27);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);

  }

  public void test25() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    org.apache.commons.math.dfp.Dfp var10 = var8.getOne();
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    java.lang.Integer var15 = new java.lang.Integer(0);
    java.lang.Long var16 = new java.lang.Long(100L);
    int var17 = org.apache.commons.math.util.MathUtils.pow((int)var15, (long)var16);
    int var18 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var14, (int)var15);
    org.apache.commons.math.dfp.DfpField var19 = new org.apache.commons.math.dfp.DfpField(var14);
    org.apache.commons.math.dfp.Dfp var20 = var19.getOne();
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(10.0d);
    java.lang.Double var23 = new java.lang.Double(100.0d);
    int var24 = org.apache.commons.math.util.MathUtils.compareTo((double)var21, (double)var22, (double)var23);
    java.lang.Integer var25 = new java.lang.Integer(0);
    java.lang.Long var26 = new java.lang.Long(100L);
    int var27 = org.apache.commons.math.util.MathUtils.pow((int)var25, (long)var26);
    int var28 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var24, (int)var25);
    org.apache.commons.math.dfp.DfpField var29 = new org.apache.commons.math.dfp.DfpField(var24);
    org.apache.commons.math.dfp.Dfp var30 = var29.getOne();
    org.apache.commons.math.dfp.Dfp var31 = var19.newDfp(var30);
    java.lang.Double var32 = new java.lang.Double((-1.0d));
    java.lang.Double var33 = new java.lang.Double(10.0d);
    java.lang.Double var34 = new java.lang.Double(100.0d);
    int var35 = org.apache.commons.math.util.MathUtils.compareTo((double)var32, (double)var33, (double)var34);
    java.lang.Integer var36 = new java.lang.Integer(0);
    java.lang.Long var37 = new java.lang.Long(100L);
    int var38 = org.apache.commons.math.util.MathUtils.pow((int)var36, (long)var37);
    int var39 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var35, (int)var36);
    org.apache.commons.math.dfp.DfpField var40 = new org.apache.commons.math.dfp.DfpField(var35);
    org.apache.commons.math.dfp.Dfp var41 = var40.getOne();
    boolean var42 = var30.greaterThan(var41);
    java.lang.Integer var43 = new java.lang.Integer(100);
    java.lang.Double var44 = new java.lang.Double((-1.0d));
    java.lang.Double var45 = new java.lang.Double(10.0d);
    java.lang.Double var46 = new java.lang.Double(100.0d);
    int var47 = org.apache.commons.math.util.MathUtils.compareTo((double)var44, (double)var45, (double)var46);
    int var48 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var43, (int)var47);
    org.apache.commons.math.dfp.Dfp var49 = org.apache.commons.math.dfp.DfpMath.pow(var41, (int)var48);
    org.apache.commons.math.dfp.Dfp var50 = org.apache.commons.math.dfp.DfpMath.pow(var10, var41);
    java.lang.Double var51 = new java.lang.Double((-1.0d));
    java.lang.Double var52 = new java.lang.Double(10.0d);
    java.lang.Double var53 = new java.lang.Double(100.0d);
    int var54 = org.apache.commons.math.util.MathUtils.compareTo((double)var51, (double)var52, (double)var53);
    java.lang.Integer var55 = new java.lang.Integer(0);
    java.lang.Long var56 = new java.lang.Long(100L);
    int var57 = org.apache.commons.math.util.MathUtils.pow((int)var55, (long)var56);
    int var58 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var54, (int)var55);
    org.apache.commons.math.dfp.DfpField var59 = new org.apache.commons.math.dfp.DfpField(var54);
    org.apache.commons.math.dfp.Dfp var60 = var59.getOne();
    int var61 = var59.getRadixDigits();
    java.lang.Double var62 = new java.lang.Double((-1.0d));
    java.lang.Double var63 = new java.lang.Double(10.0d);
    java.lang.Double var64 = new java.lang.Double(100.0d);
    int var65 = org.apache.commons.math.util.MathUtils.compareTo((double)var62, (double)var63, (double)var64);
    java.lang.Integer var66 = new java.lang.Integer(0);
    java.lang.Long var67 = new java.lang.Long(100L);
    int var68 = org.apache.commons.math.util.MathUtils.pow((int)var66, (long)var67);
    int var69 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var65, (int)var66);
    org.apache.commons.math.dfp.DfpField var70 = new org.apache.commons.math.dfp.DfpField(var65);
    org.apache.commons.math.dfp.Dfp var71 = var70.getOne();
    org.apache.commons.math.dfp.DfpField.RoundingMode var72 = var70.getRoundingMode();
    var59.setRoundingMode(var72);
    int var74 = var59.getIEEEFlags();
    org.apache.commons.math.dfp.Dfp var75 = var50.multiply((int)var74);
    int var76 = var50.log10();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var49 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var50 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var60 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var71 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var72 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var75 == null);

  }

  public void test26() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(100.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    double[] var14 = new double[] { var11, var12, var13};
    double var15 = var9.getL1Distance(var14);
    org.apache.commons.math.linear.RealVector var16 = var9.mapUlpToSelf();
    org.apache.commons.math.linear.RealVector var17 = var9.mapCeil();
    double var18 = var9.getNorm();
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(0.0d);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    double[] var22 = new double[] { var19, var20, var21};
    org.apache.commons.math.linear.ArrayRealVector var23 = new org.apache.commons.math.linear.ArrayRealVector(var22);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    java.lang.Double var25 = new java.lang.Double(0.0d);
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    double[] var27 = new double[] { var24, var25, var26};
    org.apache.commons.math.linear.ArrayRealVector var28 = new org.apache.commons.math.linear.ArrayRealVector(var27);
    org.apache.commons.math.linear.RealVector var29 = var23.ebeDivide((org.apache.commons.math.linear.RealVector)var28);
    org.apache.commons.math.linear.RealVector var30 = var28.mapAsinToSelf();
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    java.lang.Double var32 = new java.lang.Double(0.0d);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    double[] var34 = new double[] { var31, var32, var33};
    org.apache.commons.math.linear.ArrayRealVector var35 = new org.apache.commons.math.linear.ArrayRealVector(var34);
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    java.lang.Double var37 = new java.lang.Double(0.0d);
    java.lang.Double var38 = new java.lang.Double((-1.0d));
    double[] var39 = new double[] { var36, var37, var38};
    org.apache.commons.math.linear.ArrayRealVector var40 = new org.apache.commons.math.linear.ArrayRealVector(var39);
    org.apache.commons.math.linear.RealVector var41 = var35.ebeDivide((org.apache.commons.math.linear.RealVector)var40);
    org.apache.commons.math.linear.RealVector var42 = var35.mapRintToSelf();
    org.apache.commons.math.linear.ArrayRealVector var43 = var28.ebeDivide(var35);
    org.apache.commons.math.linear.RealVector var44 = var28.mapLog1pToSelf();
    java.lang.Double var45 = new java.lang.Double((-1.0d));
    java.lang.Double var46 = new java.lang.Double(10.0d);
    java.lang.Double var47 = new java.lang.Double(1.0d);
    java.lang.Double var48 = new java.lang.Double(1.0d);
    boolean var49 = org.apache.commons.math.util.MathUtils.equals((double)var47, (double)var48);
    int var50 = org.apache.commons.math.util.MathUtils.compareTo((double)var45, (double)var46, (double)var47);
    org.apache.commons.math.linear.RealVector var51 = var28.mapPow((double)var46);
    org.apache.commons.math.linear.RealVector var52 = var28.mapSin();
    java.lang.Double var53 = new java.lang.Double((-1.0d));
    java.lang.Double var54 = new java.lang.Double(0.0d);
    java.lang.Double var55 = new java.lang.Double((-1.0d));
    double[] var56 = new double[] { var53, var54, var55};
    org.apache.commons.math.linear.ArrayRealVector var57 = new org.apache.commons.math.linear.ArrayRealVector(var56);
    java.lang.Double var58 = new java.lang.Double((-1.0d));
    java.lang.Double var59 = new java.lang.Double(0.0d);
    java.lang.Double var60 = new java.lang.Double((-1.0d));
    double[] var61 = new double[] { var58, var59, var60};
    org.apache.commons.math.linear.ArrayRealVector var62 = new org.apache.commons.math.linear.ArrayRealVector(var61);
    org.apache.commons.math.linear.RealVector var63 = var57.ebeDivide((org.apache.commons.math.linear.RealVector)var62);
    org.apache.commons.math.linear.RealVector var64 = var57.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var65 = var57.mapInvToSelf();
    double var66 = var28.getL1Distance(var65);
    org.apache.commons.math.linear.RealVector var67 = var28.mapInvToSelf();
    double var68 = var28.getL1Norm();
    org.apache.commons.math.linear.ArrayRealVector var69 = var9.ebeMultiply(var28);
    java.lang.Double var70 = new java.lang.Double((-1.0d));
    java.lang.Double var71 = new java.lang.Double(0.0d);
    double[] var72 = new double[] { var70, var71};
    java.lang.Double var73 = new java.lang.Double(1.0d);
    java.lang.Double var74 = new java.lang.Double(10.0d);
    java.lang.Double var75 = new java.lang.Double(100.0d);
    double[] var76 = new double[] { var73, var74, var75};
    org.apache.commons.math.linear.ArrayRealVector var77 = new org.apache.commons.math.linear.ArrayRealVector(var72, var76);
    org.apache.commons.math.linear.RealVector var78 = var77.mapAtan();
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.ArrayRealVector var79 = var9.projection(var77);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var43 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var51 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var52 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var56 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var61 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var63 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var64 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var65 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var67 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var69 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var72 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var76 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var78 == null);

  }

  public void test27() throws Throwable {

    org.apache.commons.math.complex.ComplexField var0 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var1 = var0.getZero();
    org.apache.commons.math.complex.Complex var2 = var1.sinh();
    double var3 = var1.getImaginary();
    java.lang.Double var4 = new java.lang.Double(10.0d);
    boolean var5 = org.apache.commons.math.util.MathUtils.equals((double)var3, (double)var4);
    java.lang.Double var6 = new java.lang.Double(100.0d);
    double[] var7 = new double[] { var6};
    org.apache.commons.math.linear.ArrayRealVector var8 = new org.apache.commons.math.linear.ArrayRealVector(var7);
    org.apache.commons.math.linear.RealVector var9 = var8.mapLog1pToSelf();
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    java.lang.Double var11 = new java.lang.Double(10.0d);
    java.lang.Double var12 = new java.lang.Double(1.0d);
    java.lang.Double var13 = new java.lang.Double(1.0d);
    boolean var14 = org.apache.commons.math.util.MathUtils.equals((double)var12, (double)var13);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var10, (double)var11, (double)var12);
    org.apache.commons.math.linear.RealVector var16 = var8.mapDivideToSelf((double)var12);
    double var17 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var3, (double)var12);
    double var18 = org.apache.commons.math.util.MathUtils.sign((double)var12);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var7 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);

  }

  public void test28() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var9.mapAsinToSelf();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(0.0d);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var12, var13, var14};
    org.apache.commons.math.linear.ArrayRealVector var16 = new org.apache.commons.math.linear.ArrayRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    org.apache.commons.math.linear.RealVector var22 = var16.ebeDivide((org.apache.commons.math.linear.RealVector)var21);
    org.apache.commons.math.linear.RealVector var23 = var16.mapRintToSelf();
    org.apache.commons.math.linear.ArrayRealVector var24 = var9.ebeDivide(var16);
    org.apache.commons.math.linear.RealVector var25 = var9.mapLog1pToSelf();
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    java.lang.Double var27 = new java.lang.Double(0.0d);
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    double[] var29 = new double[] { var26, var27, var28};
    org.apache.commons.math.linear.ArrayRealVector var30 = new org.apache.commons.math.linear.ArrayRealVector(var29);
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    java.lang.Double var32 = new java.lang.Double(0.0d);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    double[] var34 = new double[] { var31, var32, var33};
    org.apache.commons.math.linear.ArrayRealVector var35 = new org.apache.commons.math.linear.ArrayRealVector(var34);
    org.apache.commons.math.linear.RealVector var36 = var30.ebeDivide((org.apache.commons.math.linear.RealVector)var35);
    org.apache.commons.math.linear.RealVector var37 = var30.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var38 = var30.mapInvToSelf();
    double[] var39 = new double[] { };
    org.apache.commons.math.linear.ArrayRealVector var40 = new org.apache.commons.math.linear.ArrayRealVector(var30, var39);
    org.apache.commons.math.linear.RealVector var41 = var30.mapCbrt();
    org.apache.commons.math.linear.RealVector var42 = var30.mapExpm1ToSelf();
    java.lang.Double var43 = new java.lang.Double((-1.0d));
    java.lang.Double var44 = new java.lang.Double(0.0d);
    java.lang.Double var45 = new java.lang.Double((-1.0d));
    double[] var46 = new double[] { var43, var44, var45};
    org.apache.commons.math.linear.ArrayRealVector var47 = new org.apache.commons.math.linear.ArrayRealVector(var46);
    java.lang.Double var48 = new java.lang.Double((-1.0d));
    java.lang.Double var49 = new java.lang.Double(0.0d);
    java.lang.Double var50 = new java.lang.Double((-1.0d));
    double[] var51 = new double[] { var48, var49, var50};
    org.apache.commons.math.linear.ArrayRealVector var52 = new org.apache.commons.math.linear.ArrayRealVector(var51);
    org.apache.commons.math.linear.RealVector var53 = var47.ebeDivide((org.apache.commons.math.linear.RealVector)var52);
    java.lang.Double var54 = new java.lang.Double(100.0d);
    java.lang.Double var55 = new java.lang.Double((-1.0d));
    java.lang.Double var56 = new java.lang.Double((-1.0d));
    double[] var57 = new double[] { var54, var55, var56};
    double var58 = var52.getL1Distance(var57);
    org.apache.commons.math.linear.RealVector var59 = var52.mapAcosToSelf();
    java.lang.Double var60 = new java.lang.Double((-1.0d));
    java.lang.Double var61 = new java.lang.Double(0.0d);
    java.lang.Double var62 = new java.lang.Double((-1.0d));
    double[] var63 = new double[] { var60, var61, var62};
    org.apache.commons.math.linear.ArrayRealVector var64 = new org.apache.commons.math.linear.ArrayRealVector(var63);
    java.lang.Double var65 = new java.lang.Double((-1.0d));
    java.lang.Double var66 = new java.lang.Double(0.0d);
    java.lang.Double var67 = new java.lang.Double((-1.0d));
    double[] var68 = new double[] { var65, var66, var67};
    org.apache.commons.math.linear.ArrayRealVector var69 = new org.apache.commons.math.linear.ArrayRealVector(var68);
    org.apache.commons.math.linear.RealVector var70 = var64.ebeDivide((org.apache.commons.math.linear.RealVector)var69);
    java.lang.Double var71 = new java.lang.Double((-1.0d));
    java.lang.Double var72 = new java.lang.Double(10.0d);
    java.lang.Double var73 = new java.lang.Double(100.0d);
    int var74 = org.apache.commons.math.util.MathUtils.compareTo((double)var71, (double)var72, (double)var73);
    org.apache.commons.math.linear.RealVector var75 = var69.mapPowToSelf((double)var73);
    java.lang.Double[] var76 = new java.lang.Double[] { var73};
    org.apache.commons.math.linear.ArrayRealVector var77 = new org.apache.commons.math.linear.ArrayRealVector(var76);
    org.apache.commons.math.linear.RealVector var78 = var77.mapCbrtToSelf();
    java.lang.Integer var79 = new java.lang.Integer(100);
    java.lang.Double var80 = new java.lang.Double((-1.0d));
    java.lang.Double var81 = new java.lang.Double(10.0d);
    java.lang.Double var82 = new java.lang.Double(100.0d);
    int var83 = org.apache.commons.math.util.MathUtils.compareTo((double)var80, (double)var81, (double)var82);
    int var84 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var79, (int)var83);
    java.lang.Double var85 = new java.lang.Double((-1.0d));
    java.lang.Double var86 = new java.lang.Double(10.0d);
    java.lang.Double var87 = new java.lang.Double(100.0d);
    int var88 = org.apache.commons.math.util.MathUtils.compareTo((double)var85, (double)var86, (double)var87);
    int var89 = org.apache.commons.math.util.MathUtils.gcd((int)var83, (int)var88);
    int var90 = org.apache.commons.math.util.MathUtils.sign((int)var89);
    java.lang.Double var91 = new java.lang.Double(100.0d);
    java.lang.Double var92 = new java.lang.Double(10.0d);
    double[] var93 = new double[] { var91, var92};
    double var94 = org.apache.commons.math.util.MathUtils.safeNorm(var93);
    var77.setEntry((int)var90, (double)var94);
    org.apache.commons.math.linear.ArrayRealVector var96 = new org.apache.commons.math.linear.ArrayRealVector(var52, var77);
    org.apache.commons.math.linear.RealVector var97 = var30.append((org.apache.commons.math.linear.RealVector)var52);
    double var98 = var52.getMaxValue();
    org.apache.commons.math.linear.RealVector var99 = var9.mapSubtractToSelf((double)var98);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var46 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var51 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var53 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var57 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var59 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var63 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var68 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var70 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var75 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var76 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var78 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var93 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var97 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var99 == null);

  }

  public void test29() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var7};
    org.apache.commons.math.linear.OpenMapRealVector var9 = new org.apache.commons.math.linear.OpenMapRealVector(var8);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var10};
    org.apache.commons.math.linear.OpenMapRealVector var12 = new org.apache.commons.math.linear.OpenMapRealVector(var11);
    org.apache.commons.math.linear.OpenMapRealVector var13 = var9.add(var12);
    org.apache.commons.math.linear.OpenMapRealVector var14 = new org.apache.commons.math.linear.OpenMapRealVector(var13);
    boolean var15 = var14.isNaN();
    org.apache.commons.math.linear.RealVector var16 = var5.projection((org.apache.commons.math.linear.RealVector)var14);
    org.apache.commons.math.linear.OpenMapRealVector var17 = new org.apache.commons.math.linear.OpenMapRealVector();
    double var18 = var17.getSparsity();
    org.apache.commons.math.linear.RealVector var19 = var17.mapSinhToSelf();
    boolean var20 = var14.equals((java.lang.Object)var19);
    org.apache.commons.math.linear.RealVector var21 = var14.mapFloorToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);

  }

  public void test30() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var9.mapAsinToSelf();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(0.0d);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var12, var13, var14};
    org.apache.commons.math.linear.ArrayRealVector var16 = new org.apache.commons.math.linear.ArrayRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    org.apache.commons.math.linear.RealVector var22 = var16.ebeDivide((org.apache.commons.math.linear.RealVector)var21);
    org.apache.commons.math.linear.RealVector var23 = var16.mapRintToSelf();
    org.apache.commons.math.linear.ArrayRealVector var24 = var9.ebeDivide(var16);
    double[] var25 = var24.getDataRef();
    org.apache.commons.math.linear.RealVector var26 = var24.mapUlpToSelf();
    org.apache.commons.math.linear.RealVector var27 = var24.mapUlpToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);

  }

  public void test31() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    int var10 = var8.getRadixDigits();
    org.apache.commons.math.dfp.Dfp[] var11 = var8.getLn2Split();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);

  }

  public void test32() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var7};
    org.apache.commons.math.linear.OpenMapRealVector var9 = new org.apache.commons.math.linear.OpenMapRealVector(var8);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var10};
    org.apache.commons.math.linear.OpenMapRealVector var12 = new org.apache.commons.math.linear.OpenMapRealVector(var11);
    org.apache.commons.math.linear.OpenMapRealVector var13 = var9.add(var12);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var14};
    org.apache.commons.math.linear.OpenMapRealVector var16 = new org.apache.commons.math.linear.OpenMapRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    double[] var18 = new double[] { var17};
    org.apache.commons.math.linear.OpenMapRealVector var19 = new org.apache.commons.math.linear.OpenMapRealVector(var18);
    org.apache.commons.math.linear.OpenMapRealVector var20 = var16.add(var19);
    double var21 = var12.dotProduct(var19);
    org.apache.commons.math.linear.OpenMapRealVector var22 = var2.subtract(var12);
    double var23 = var2.getMaxValue();
    java.lang.Double var24 = new java.lang.Double(10.0d);
    double[] var25 = new double[] { var24};
    org.apache.commons.math.linear.OpenMapRealVector var26 = new org.apache.commons.math.linear.OpenMapRealVector(var25);
    org.apache.commons.math.linear.OpenMapRealVector var27 = var2.subtract((org.apache.commons.math.linear.RealVector)var26);
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    java.lang.Double var29 = new java.lang.Double(10.0d);
    java.lang.Double var30 = new java.lang.Double(100.0d);
    int var31 = org.apache.commons.math.util.MathUtils.compareTo((double)var28, (double)var29, (double)var30);
    java.lang.Integer var32 = new java.lang.Integer(0);
    java.lang.Long var33 = new java.lang.Long(100L);
    int var34 = org.apache.commons.math.util.MathUtils.pow((int)var32, (long)var33);
    int var35 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var31, (int)var32);
    org.apache.commons.math.dfp.DfpField var36 = new org.apache.commons.math.dfp.DfpField(var31);
    org.apache.commons.math.dfp.Dfp var37 = var36.getOne();
    int var38 = var37.log10K();
    java.lang.Integer var39 = new java.lang.Integer(100);
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    java.lang.Double var41 = new java.lang.Double(10.0d);
    java.lang.Double var42 = new java.lang.Double(100.0d);
    int var43 = org.apache.commons.math.util.MathUtils.compareTo((double)var40, (double)var41, (double)var42);
    int var44 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var39, (int)var43);
    java.lang.Double var45 = new java.lang.Double((-1.0d));
    java.lang.Double var46 = new java.lang.Double(10.0d);
    java.lang.Double var47 = new java.lang.Double(100.0d);
    int var48 = org.apache.commons.math.util.MathUtils.compareTo((double)var45, (double)var46, (double)var47);
    int var49 = org.apache.commons.math.util.MathUtils.gcd((int)var43, (int)var48);
    org.apache.commons.math.dfp.Dfp var50 = var37.power10K((int)var43);
    double var51 = var2.getEntry((int)var43);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var50 == null);

  }

  public void test33() throws Throwable {

    org.apache.commons.math.complex.ComplexField var0 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var1 = var0.getZero();
    org.apache.commons.math.complex.Complex var2 = var1.sinh();
    double var3 = var1.getImaginary();
    java.lang.Double var4 = new java.lang.Double(10.0d);
    boolean var5 = org.apache.commons.math.util.MathUtils.equals((double)var3, (double)var4);
    java.lang.Double[] var6 = new java.lang.Double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var7 = new org.apache.commons.math.linear.OpenMapRealVector(var6);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);

  }

  public void test34() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    java.lang.Double var11 = new java.lang.Double(10.0d);
    java.lang.Double var12 = new java.lang.Double(100.0d);
    int var13 = org.apache.commons.math.util.MathUtils.compareTo((double)var10, (double)var11, (double)var12);
    java.lang.Integer var14 = new java.lang.Integer(0);
    java.lang.Long var15 = new java.lang.Long(100L);
    int var16 = org.apache.commons.math.util.MathUtils.pow((int)var14, (long)var15);
    int var17 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var13, (int)var14);
    org.apache.commons.math.dfp.DfpField var18 = new org.apache.commons.math.dfp.DfpField(var13);
    org.apache.commons.math.dfp.Dfp var19 = var18.getOne();
    org.apache.commons.math.dfp.Dfp var20 = var8.newDfp(var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(10.0d);
    java.lang.Double var23 = new java.lang.Double(100.0d);
    int var24 = org.apache.commons.math.util.MathUtils.compareTo((double)var21, (double)var22, (double)var23);
    java.lang.Integer var25 = new java.lang.Integer(0);
    java.lang.Long var26 = new java.lang.Long(100L);
    int var27 = org.apache.commons.math.util.MathUtils.pow((int)var25, (long)var26);
    int var28 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var24, (int)var25);
    org.apache.commons.math.dfp.DfpField var29 = new org.apache.commons.math.dfp.DfpField(var24);
    org.apache.commons.math.dfp.Dfp var30 = var29.getOne();
    boolean var31 = var19.greaterThan(var30);
    java.lang.Double var32 = new java.lang.Double((-1.0d));
    java.lang.Double var33 = new java.lang.Double(10.0d);
    java.lang.Double var34 = new java.lang.Double(100.0d);
    int var35 = org.apache.commons.math.util.MathUtils.compareTo((double)var32, (double)var33, (double)var34);
    java.lang.Integer var36 = new java.lang.Integer(0);
    java.lang.Long var37 = new java.lang.Long(100L);
    int var38 = org.apache.commons.math.util.MathUtils.pow((int)var36, (long)var37);
    int var39 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var35, (int)var36);
    org.apache.commons.math.dfp.DfpField var40 = new org.apache.commons.math.dfp.DfpField(var35);
    org.apache.commons.math.dfp.Dfp var41 = var40.getOne();
    org.apache.commons.math.dfp.Dfp var42 = var40.getOne();
    org.apache.commons.math.dfp.Dfp var43 = var19.subtract(var42);
    java.lang.Double var44 = new java.lang.Double((-1.0d));
    java.lang.Double var45 = new java.lang.Double(0.0d);
    java.lang.Double var46 = new java.lang.Double((-1.0d));
    double[] var47 = new double[] { var44, var45, var46};
    org.apache.commons.math.linear.ArrayRealVector var48 = new org.apache.commons.math.linear.ArrayRealVector(var47);
    java.lang.Double var49 = new java.lang.Double((-1.0d));
    java.lang.Double var50 = new java.lang.Double(0.0d);
    java.lang.Double var51 = new java.lang.Double((-1.0d));
    double[] var52 = new double[] { var49, var50, var51};
    org.apache.commons.math.linear.ArrayRealVector var53 = new org.apache.commons.math.linear.ArrayRealVector(var52);
    org.apache.commons.math.linear.RealVector var54 = var48.ebeDivide((org.apache.commons.math.linear.RealVector)var53);
    java.lang.Double var55 = new java.lang.Double((-1.0d));
    java.lang.Double var56 = new java.lang.Double(10.0d);
    java.lang.Double var57 = new java.lang.Double(100.0d);
    int var58 = org.apache.commons.math.util.MathUtils.compareTo((double)var55, (double)var56, (double)var57);
    org.apache.commons.math.linear.RealVector var59 = var53.mapPowToSelf((double)var57);
    java.lang.Double[] var60 = new java.lang.Double[] { var57};
    org.apache.commons.math.linear.ArrayRealVector var61 = new org.apache.commons.math.linear.ArrayRealVector(var60);
    org.apache.commons.math.linear.RealVector var62 = var61.mapCbrtToSelf();
    java.lang.Integer var63 = new java.lang.Integer(100);
    java.lang.Double var64 = new java.lang.Double((-1.0d));
    java.lang.Double var65 = new java.lang.Double(10.0d);
    java.lang.Double var66 = new java.lang.Double(100.0d);
    int var67 = org.apache.commons.math.util.MathUtils.compareTo((double)var64, (double)var65, (double)var66);
    int var68 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var63, (int)var67);
    java.lang.Double var69 = new java.lang.Double((-1.0d));
    java.lang.Double var70 = new java.lang.Double(10.0d);
    java.lang.Double var71 = new java.lang.Double(100.0d);
    int var72 = org.apache.commons.math.util.MathUtils.compareTo((double)var69, (double)var70, (double)var71);
    int var73 = org.apache.commons.math.util.MathUtils.gcd((int)var67, (int)var72);
    int var74 = org.apache.commons.math.util.MathUtils.sign((int)var73);
    java.lang.Double var75 = new java.lang.Double(100.0d);
    java.lang.Double var76 = new java.lang.Double(10.0d);
    double[] var77 = new double[] { var75, var76};
    double var78 = org.apache.commons.math.util.MathUtils.safeNorm(var77);
    var61.setEntry((int)var74, (double)var78);
    int var80 = var61.getMaxIndex();
    org.apache.commons.math.dfp.Dfp var81 = var19.newInstance((int)var80);
    double var82 = org.apache.commons.math.util.MathUtils.factorialDouble((int)var80);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var43 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var47 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var52 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var54 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var59 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var60 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var62 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var77 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var81 == null);

  }

  public void test35() throws Throwable {

    double[] var0 = new double[] { };
    java.lang.Double var1 = new java.lang.Double((-1.0d));
    java.lang.Double var2 = new java.lang.Double(10.0d);
    java.lang.Double var3 = new java.lang.Double(100.0d);
    int var4 = org.apache.commons.math.util.MathUtils.compareTo((double)var1, (double)var2, (double)var3);
    java.lang.Integer var5 = new java.lang.Integer(0);
    java.lang.Long var6 = new java.lang.Long(100L);
    int var7 = org.apache.commons.math.util.MathUtils.pow((int)var5, (long)var6);
    int var8 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var4, (int)var5);
    org.apache.commons.math.dfp.DfpField var9 = new org.apache.commons.math.dfp.DfpField(var4);
    org.apache.commons.math.dfp.Dfp var10 = var9.getOne();
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    java.lang.Integer var15 = new java.lang.Integer(0);
    java.lang.Long var16 = new java.lang.Long(100L);
    int var17 = org.apache.commons.math.util.MathUtils.pow((int)var15, (long)var16);
    int var18 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var14, (int)var15);
    org.apache.commons.math.dfp.DfpField var19 = new org.apache.commons.math.dfp.DfpField(var14);
    org.apache.commons.math.dfp.Dfp var20 = var19.getOne();
    org.apache.commons.math.dfp.Dfp var21 = var9.newDfp(var20);
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    java.lang.Double var23 = new java.lang.Double(10.0d);
    java.lang.Double var24 = new java.lang.Double(100.0d);
    int var25 = org.apache.commons.math.util.MathUtils.compareTo((double)var22, (double)var23, (double)var24);
    java.lang.Integer var26 = new java.lang.Integer(0);
    java.lang.Long var27 = new java.lang.Long(100L);
    int var28 = org.apache.commons.math.util.MathUtils.pow((int)var26, (long)var27);
    int var29 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var25, (int)var26);
    org.apache.commons.math.dfp.DfpField var30 = new org.apache.commons.math.dfp.DfpField(var25);
    org.apache.commons.math.dfp.Dfp var31 = var30.getOne();
    boolean var32 = var20.greaterThan(var31);
    org.apache.commons.math.dfp.Dfp var33 = new org.apache.commons.math.dfp.Dfp(var31);
    boolean var34 = var31.isNaN();
    org.apache.commons.math.linear.ArrayRealVector var35 = new org.apache.commons.math.linear.ArrayRealVector(var0, var34);
    double[] var36 = var35.toArray();
    org.apache.commons.math.linear.RealVector var37 = var35.mapRint();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);

  }

  public void test36() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(100.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    double[] var14 = new double[] { var11, var12, var13};
    double var15 = var9.getL1Distance(var14);
    org.apache.commons.math.linear.RealVector var16 = var9.mapSignum();
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    java.lang.Double var23 = new java.lang.Double(0.0d);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    double[] var25 = new double[] { var22, var23, var24};
    org.apache.commons.math.linear.ArrayRealVector var26 = new org.apache.commons.math.linear.ArrayRealVector(var25);
    org.apache.commons.math.linear.RealVector var27 = var21.ebeDivide((org.apache.commons.math.linear.RealVector)var26);
    org.apache.commons.math.linear.ArrayRealVector var28 = var9.add(var21);
    org.apache.commons.math.linear.RealVector var29 = var21.mapTanhToSelf();
    org.apache.commons.math.linear.RealVector var30 = var21.mapAtanToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);

  }

  public void test37() throws Throwable {

    org.apache.commons.math.complex.ComplexField var0 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var1 = var0.getZero();
    double var2 = var1.getArgument();
    org.apache.commons.math.complex.Complex var3 = var1.exp();
    org.apache.commons.math.complex.Complex var4 = var3.sinh();
    boolean var5 = var3.isNaN();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var6 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var7 = var6.copy();
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    java.lang.Double var9 = new java.lang.Double(0.0d);
    double[] var10 = new double[] { var8, var9};
    var6.incrementAll(var10);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(0.0d);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var12, var13, var14};
    org.apache.commons.math.linear.ArrayRealVector var16 = new org.apache.commons.math.linear.ArrayRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    org.apache.commons.math.linear.RealVector var22 = var16.ebeDivide((org.apache.commons.math.linear.RealVector)var21);
    org.apache.commons.math.linear.RealVector var23 = var16.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var24 = var16.mapInvToSelf();
    org.apache.commons.math.linear.RealVector var25 = var16.mapCeilToSelf();
    double var26 = var16.getL1Norm();
    boolean var27 = var6.equals((java.lang.Object)var26);
    org.apache.commons.math.complex.Complex var28 = var3.multiply((double)var26);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    double[] var30 = new double[] { var29};
    org.apache.commons.math.linear.OpenMapRealVector var31 = new org.apache.commons.math.linear.OpenMapRealVector(var30);
    java.lang.Double var32 = new java.lang.Double((-1.0d));
    double[] var33 = new double[] { var32};
    org.apache.commons.math.linear.OpenMapRealVector var34 = new org.apache.commons.math.linear.OpenMapRealVector(var33);
    org.apache.commons.math.linear.OpenMapRealVector var35 = var31.add(var34);
    org.apache.commons.math.linear.OpenMapRealVector var36 = new org.apache.commons.math.linear.OpenMapRealVector(var35);
    boolean var37 = var36.isNaN();
    java.lang.Double var38 = new java.lang.Double((-1.0d));
    java.lang.Double var39 = new java.lang.Double((-1.0d));
    double[] var40 = new double[] { var38, var39};
    java.lang.Double var41 = new java.lang.Double((-1.0d));
    java.lang.Double var42 = new java.lang.Double(10.0d);
    java.lang.Double var43 = new java.lang.Double(100.0d);
    int var44 = org.apache.commons.math.util.MathUtils.compareTo((double)var41, (double)var42, (double)var43);
    org.apache.commons.math.optimization.linear.LinearObjectiveFunction var45 = new org.apache.commons.math.optimization.linear.LinearObjectiveFunction(var40, var42);
    org.apache.commons.math.linear.RealVector var46 = var36.mapDivideToSelf((double)var42);
    org.apache.commons.math.linear.RealVector var47 = var36.mapAcosToSelf();
    double var48 = var36.getSparcity();
    double var49 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var26, (double)var48);
    double var50 = org.apache.commons.math.util.MathUtils.sign((double)var48);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var7 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var46 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var47 == null);

  }

  public void test38() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var7};
    org.apache.commons.math.linear.OpenMapRealVector var9 = new org.apache.commons.math.linear.OpenMapRealVector(var8);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var10};
    org.apache.commons.math.linear.OpenMapRealVector var12 = new org.apache.commons.math.linear.OpenMapRealVector(var11);
    org.apache.commons.math.linear.OpenMapRealVector var13 = var9.add(var12);
    double var14 = var5.dotProduct(var12);
    org.apache.commons.math.linear.RealVector var15 = var12.mapAtanToSelf();
    java.lang.Double var16 = new java.lang.Double(1.0d);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    boolean var18 = org.apache.commons.math.util.MathUtils.equals((double)var16, (double)var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    double var23 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var16, (double)var19);
    var12.set((double)var23);
    org.apache.commons.math.linear.RealVector var25 = var12.mapFloorToSelf();
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    java.lang.Double var27 = new java.lang.Double((-1.0d));
    double[] var28 = new double[] { var26, var27};
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double(10.0d);
    java.lang.Double var31 = new java.lang.Double(100.0d);
    int var32 = org.apache.commons.math.util.MathUtils.compareTo((double)var29, (double)var30, (double)var31);
    org.apache.commons.math.optimization.linear.LinearObjectiveFunction var33 = new org.apache.commons.math.optimization.linear.LinearObjectiveFunction(var28, var30);
    double var34 = var33.getConstantTerm();
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    double[] var37 = new double[] { var35, var36};
    double var38 = var33.getValue(var37);
    org.apache.commons.math.linear.OpenMapRealVector var39 = var12.mapAddToSelf((double)var38);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);

  }

  public void test39() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double((-1.0d));
    double[] var2 = new double[] { var0, var1};
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    java.lang.Double var4 = new java.lang.Double(10.0d);
    java.lang.Double var5 = new java.lang.Double(100.0d);
    int var6 = org.apache.commons.math.util.MathUtils.compareTo((double)var3, (double)var4, (double)var5);
    org.apache.commons.math.optimization.linear.LinearObjectiveFunction var7 = new org.apache.commons.math.optimization.linear.LinearObjectiveFunction(var2, var4);
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    double[] var9 = new double[] { var8};
    org.apache.commons.math.linear.OpenMapRealVector var10 = new org.apache.commons.math.linear.OpenMapRealVector(var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    double[] var12 = new double[] { var11};
    org.apache.commons.math.linear.OpenMapRealVector var13 = new org.apache.commons.math.linear.OpenMapRealVector(var12);
    org.apache.commons.math.linear.OpenMapRealVector var14 = var10.add(var13);
    java.lang.Double var15 = new java.lang.Double((-1.0d));
    double[] var16 = new double[] { var15};
    org.apache.commons.math.linear.OpenMapRealVector var17 = new org.apache.commons.math.linear.OpenMapRealVector(var16);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    double[] var19 = new double[] { var18};
    org.apache.commons.math.linear.OpenMapRealVector var20 = new org.apache.commons.math.linear.OpenMapRealVector(var19);
    org.apache.commons.math.linear.OpenMapRealVector var21 = var17.add(var20);
    double var22 = var13.dotProduct(var20);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    double[] var24 = new double[] { var23};
    org.apache.commons.math.linear.OpenMapRealVector var25 = new org.apache.commons.math.linear.OpenMapRealVector(var24);
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    double[] var27 = new double[] { var26};
    org.apache.commons.math.linear.OpenMapRealVector var28 = new org.apache.commons.math.linear.OpenMapRealVector(var27);
    org.apache.commons.math.linear.OpenMapRealVector var29 = var25.add(var28);
    org.apache.commons.math.linear.OpenMapRealVector var30 = new org.apache.commons.math.linear.OpenMapRealVector(var29);
    boolean var31 = var30.isNaN();
    java.lang.Double var32 = new java.lang.Double((-1.0d));
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    double[] var34 = new double[] { var32, var33};
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    java.lang.Double var36 = new java.lang.Double(10.0d);
    java.lang.Double var37 = new java.lang.Double(100.0d);
    int var38 = org.apache.commons.math.util.MathUtils.compareTo((double)var35, (double)var36, (double)var37);
    org.apache.commons.math.optimization.linear.LinearObjectiveFunction var39 = new org.apache.commons.math.optimization.linear.LinearObjectiveFunction(var34, var36);
    org.apache.commons.math.linear.RealVector var40 = var30.mapDivideToSelf((double)var36);
    java.lang.Double var41 = new java.lang.Double((-1.0d));
    double[] var42 = new double[] { var41};
    org.apache.commons.math.linear.OpenMapRealVector var43 = new org.apache.commons.math.linear.OpenMapRealVector(var42);
    java.lang.Double var44 = new java.lang.Double((-1.0d));
    double[] var45 = new double[] { var44};
    org.apache.commons.math.linear.OpenMapRealVector var46 = new org.apache.commons.math.linear.OpenMapRealVector(var45);
    org.apache.commons.math.linear.OpenMapRealVector var47 = var43.add(var46);
    java.lang.Double var48 = new java.lang.Double((-1.0d));
    double[] var49 = new double[] { var48};
    org.apache.commons.math.linear.OpenMapRealVector var50 = new org.apache.commons.math.linear.OpenMapRealVector(var49);
    java.lang.Double var51 = new java.lang.Double((-1.0d));
    double[] var52 = new double[] { var51};
    org.apache.commons.math.linear.OpenMapRealVector var53 = new org.apache.commons.math.linear.OpenMapRealVector(var52);
    org.apache.commons.math.linear.OpenMapRealVector var54 = var50.add(var53);
    double var55 = var46.dotProduct(var53);
    org.apache.commons.math.linear.RealVector var56 = var53.mapAtanToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var57 = var53.copy();
    java.lang.Double var58 = new java.lang.Double(0.0d);
    java.lang.Double var59 = new java.lang.Double((-1.0d));
    java.lang.Double var60 = new java.lang.Double((-1.0d));
    int var61 = org.apache.commons.math.util.MathUtils.compareTo((double)var58, (double)var59, (double)var60);
    org.apache.commons.math.linear.RealVector var62 = var53.mapMultiply((double)var59);
    org.apache.commons.math.complex.Complex var63 = new org.apache.commons.math.complex.Complex(var36, var59);
    org.apache.commons.math.complex.Complex var64 = new org.apache.commons.math.complex.Complex(var22, var36);
    boolean var65 = var7.equals((java.lang.Object)var36);
    java.lang.Double var66 = new java.lang.Double((-1.0d));
    java.lang.Double var67 = new java.lang.Double(1.0d);
    double[] var68 = new double[] { var66, var67};
    double var69 = var7.getValue(var68);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var45 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var47 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var49 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var52 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var54 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var56 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var57 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var62 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var68 == null);

  }

  public void test40() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    int var11 = var4.getMaxIndex();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    boolean var18 = org.apache.commons.math.util.MathUtils.equals((double)var16, (double)var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    boolean var23 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var14, (double)var17, (double)var21);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var24 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var11, var23);
    java.lang.String var25 = var24.toString();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var26 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var27 = var26.copy();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var28 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation(var26);
    java.lang.Double var29 = new java.lang.Double(1.0d);
    java.lang.Double var30 = new java.lang.Double(0.0d);
    double[] var31 = new double[] { var29, var30};
    double[] var32 = new double[] { };
    java.lang.Double var33 = new java.lang.Double(0.0d);
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    java.lang.Double var35 = new java.lang.Double(0.0d);
    double[] var36 = new double[] { var33, var34, var35};
    double var37 = org.apache.commons.math.util.MathUtils.distanceInf(var32, var36);
    double var38 = var28.evaluate(var31, (double)var37);
    java.lang.Double var39 = new java.lang.Double(1.0d);
    java.lang.Double var40 = new java.lang.Double(10.0d);
    double[] var41 = new double[] { var39, var40};
    org.apache.commons.math.complex.ComplexField var42 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var43 = var42.getZero();
    double var44 = var43.getArgument();
    java.lang.Double var45 = new java.lang.Double((-1.0d));
    java.lang.Double var46 = new java.lang.Double(10.0d);
    java.lang.Double var47 = new java.lang.Double(100.0d);
    int var48 = org.apache.commons.math.util.MathUtils.compareTo((double)var45, (double)var46, (double)var47);
    java.lang.Integer var49 = new java.lang.Integer(0);
    java.lang.Long var50 = new java.lang.Long(100L);
    int var51 = org.apache.commons.math.util.MathUtils.pow((int)var49, (long)var50);
    int var52 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var48, (int)var49);
    java.lang.Integer var53 = new java.lang.Integer(100);
    java.lang.Double var54 = new java.lang.Double((-1.0d));
    java.lang.Double var55 = new java.lang.Double(10.0d);
    java.lang.Double var56 = new java.lang.Double(100.0d);
    int var57 = org.apache.commons.math.util.MathUtils.compareTo((double)var54, (double)var55, (double)var56);
    java.lang.Integer var58 = new java.lang.Integer(0);
    java.lang.Long var59 = new java.lang.Long(100L);
    int var60 = org.apache.commons.math.util.MathUtils.pow((int)var58, (long)var59);
    int var61 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var57, (int)var58);
    int var62 = org.apache.commons.math.util.MathUtils.pow((int)var53, (int)var57);
    double var63 = var28.evaluate(var41, (double)var44, (int)var49, (int)var62);
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var64 = new org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] { var28};
    var24.setMeanImpl(var64);
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var66 = var24.getMeanImpl();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var43 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var64 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var66 == null);

  }

  public void test41() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp[] var9 = var8.getPiSplit();
    int var10 = var8.getRadixDigits();
    org.apache.commons.math.dfp.Dfp var11 = var8.getPi();
    org.apache.commons.math.dfp.Dfp var12 = var8.getSqr2Reciprocal();
    org.apache.commons.math.dfp.Dfp var13 = var8.getLn5();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);

  }

  public void test42() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    java.lang.Double var3 = new java.lang.Double(0.0d);
    java.lang.Double var4 = new java.lang.Double((-1.0d));
    double[] var5 = new double[] { var2, var3, var4};
    org.apache.commons.math.linear.ArrayRealVector var6 = new org.apache.commons.math.linear.ArrayRealVector(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    java.lang.Double var8 = new java.lang.Double(0.0d);
    java.lang.Double var9 = new java.lang.Double((-1.0d));
    double[] var10 = new double[] { var7, var8, var9};
    org.apache.commons.math.linear.ArrayRealVector var11 = new org.apache.commons.math.linear.ArrayRealVector(var10);
    org.apache.commons.math.linear.RealVector var12 = var6.ebeDivide((org.apache.commons.math.linear.RealVector)var11);
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    java.lang.Double var14 = new java.lang.Double(10.0d);
    java.lang.Double var15 = new java.lang.Double(100.0d);
    int var16 = org.apache.commons.math.util.MathUtils.compareTo((double)var13, (double)var14, (double)var15);
    org.apache.commons.math.linear.RealVector var17 = var11.mapPowToSelf((double)var15);
    java.lang.Integer var18 = new java.lang.Integer(10);
    int var19 = org.apache.commons.math.util.MathUtils.indicator((int)var18);
    java.lang.Integer var20 = new java.lang.Integer(10);
    int var21 = org.apache.commons.math.util.MathUtils.indicator((int)var20);
    org.apache.commons.math.linear.RealVector var22 = var11.getSubVector((int)var19, (int)var21);
    double var23 = var11.getL1Norm();
    org.apache.commons.math.linear.OpenMapRealVector var24 = new org.apache.commons.math.linear.OpenMapRealVector(var1, var23);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var5 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);

  }

  public void test43() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp[] var9 = var8.getPiSplit();
    org.apache.commons.math.dfp.Dfp var10 = var8.getSqr2();
    java.lang.Long var11 = new java.lang.Long(100L);
    java.lang.Long var12 = new java.lang.Long((-1L));
    long var13 = org.apache.commons.math.util.MathUtils.lcm((long)var11, (long)var12);
    org.apache.commons.math.dfp.Dfp var14 = var8.newDfp((long)var11);
    java.lang.Double var15 = new java.lang.Double((-1.0d));
    java.lang.Double var16 = new java.lang.Double(10.0d);
    java.lang.Double var17 = new java.lang.Double(100.0d);
    int var18 = org.apache.commons.math.util.MathUtils.compareTo((double)var15, (double)var16, (double)var17);
    java.lang.Integer var19 = new java.lang.Integer(0);
    java.lang.Long var20 = new java.lang.Long(100L);
    int var21 = org.apache.commons.math.util.MathUtils.pow((int)var19, (long)var20);
    int var22 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var18, (int)var19);
    org.apache.commons.math.dfp.DfpField var23 = new org.apache.commons.math.dfp.DfpField(var18);
    org.apache.commons.math.dfp.Dfp var24 = var23.getOne();
    int var25 = var24.log10K();
    java.lang.Integer var26 = new java.lang.Integer(100);
    java.lang.Double var27 = new java.lang.Double((-1.0d));
    java.lang.Double var28 = new java.lang.Double(10.0d);
    java.lang.Double var29 = new java.lang.Double(100.0d);
    int var30 = org.apache.commons.math.util.MathUtils.compareTo((double)var27, (double)var28, (double)var29);
    int var31 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var26, (int)var30);
    java.lang.Double var32 = new java.lang.Double((-1.0d));
    java.lang.Double var33 = new java.lang.Double(10.0d);
    java.lang.Double var34 = new java.lang.Double(100.0d);
    int var35 = org.apache.commons.math.util.MathUtils.compareTo((double)var32, (double)var33, (double)var34);
    int var36 = org.apache.commons.math.util.MathUtils.gcd((int)var30, (int)var35);
    org.apache.commons.math.dfp.Dfp var37 = var24.power10K((int)var30);
    org.apache.commons.math.dfp.Dfp var38 = org.apache.commons.math.dfp.Dfp.copysign(var14, var24);
    org.apache.commons.math.dfp.Dfp var39 = var38.getTwo();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);

  }

  public void test44() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    int var10 = var9.log10K();
    java.lang.Integer var11 = new java.lang.Integer(100);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    int var16 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var11, (int)var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(10.0d);
    java.lang.Double var19 = new java.lang.Double(100.0d);
    int var20 = org.apache.commons.math.util.MathUtils.compareTo((double)var17, (double)var18, (double)var19);
    int var21 = org.apache.commons.math.util.MathUtils.gcd((int)var15, (int)var20);
    org.apache.commons.math.dfp.Dfp var22 = var9.power10K((int)var15);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    java.lang.Double var24 = new java.lang.Double(10.0d);
    java.lang.Double var25 = new java.lang.Double(100.0d);
    int var26 = org.apache.commons.math.util.MathUtils.compareTo((double)var23, (double)var24, (double)var25);
    java.lang.Integer var27 = new java.lang.Integer(0);
    java.lang.Long var28 = new java.lang.Long(100L);
    int var29 = org.apache.commons.math.util.MathUtils.pow((int)var27, (long)var28);
    int var30 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var26, (int)var27);
    org.apache.commons.math.dfp.DfpField var31 = new org.apache.commons.math.dfp.DfpField(var26);
    org.apache.commons.math.dfp.Dfp var32 = var31.getOne();
    org.apache.commons.math.dfp.Dfp var33 = var22.multiply(var32);
    org.apache.commons.math.dfp.Dfp var34 = var33.getTwo();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);

  }

  public void test45() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(0.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    org.apache.commons.math.linear.RealVector var15 = var4.mapDivide((double)var12);
    java.lang.Double var16 = new java.lang.Double((-1.0d));
    java.lang.Double var17 = new java.lang.Double(0.0d);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    double[] var19 = new double[] { var16, var17, var18};
    org.apache.commons.math.linear.ArrayRealVector var20 = new org.apache.commons.math.linear.ArrayRealVector(var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(0.0d);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    double[] var24 = new double[] { var21, var22, var23};
    org.apache.commons.math.linear.ArrayRealVector var25 = new org.apache.commons.math.linear.ArrayRealVector(var24);
    org.apache.commons.math.linear.RealVector var26 = var20.ebeDivide((org.apache.commons.math.linear.RealVector)var25);
    org.apache.commons.math.linear.RealVector var27 = var20.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var28 = var20.mapInvToSelf();
    org.apache.commons.math.linear.ArrayRealVector var29 = var4.subtract(var20);
    org.apache.commons.math.linear.RealVector var30 = var29.mapCoshToSelf();
    double var31 = var29.getNorm();
    java.lang.Double var32 = new java.lang.Double((-1.0d));
    java.lang.Double var33 = new java.lang.Double(0.0d);
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    double[] var35 = new double[] { var32, var33, var34};
    org.apache.commons.math.linear.ArrayRealVector var36 = new org.apache.commons.math.linear.ArrayRealVector(var35);
    java.lang.Double var37 = new java.lang.Double((-1.0d));
    java.lang.Double var38 = new java.lang.Double(0.0d);
    java.lang.Double var39 = new java.lang.Double((-1.0d));
    double[] var40 = new double[] { var37, var38, var39};
    org.apache.commons.math.linear.ArrayRealVector var41 = new org.apache.commons.math.linear.ArrayRealVector(var40);
    org.apache.commons.math.linear.RealVector var42 = var36.ebeDivide((org.apache.commons.math.linear.RealVector)var41);
    org.apache.commons.math.linear.RealVector var43 = var41.mapAsinToSelf();
    org.apache.commons.math.linear.ArrayRealVector var44 = new org.apache.commons.math.linear.ArrayRealVector(var29, var41);
    org.apache.commons.math.linear.RealVector var45 = var29.mapAsin();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var43 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var45 == null);

  }

  public void test46() throws Throwable {

    org.apache.commons.math.complex.ComplexField var0 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var1 = var0.getZero();
    double var2 = var1.getArgument();
    org.apache.commons.math.complex.Complex var3 = var1.exp();
    java.lang.Double var4 = new java.lang.Double(1.0d);
    java.lang.Double var5 = new java.lang.Double(1.0d);
    boolean var6 = org.apache.commons.math.util.MathUtils.equals((double)var4, (double)var5);
    boolean var7 = var1.equals((java.lang.Object)var5);
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    java.lang.Double var9 = new java.lang.Double(10.0d);
    java.lang.Double var10 = new java.lang.Double(100.0d);
    int var11 = org.apache.commons.math.util.MathUtils.compareTo((double)var8, (double)var9, (double)var10);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(0.0d);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var12, var13, var14};
    org.apache.commons.math.linear.ArrayRealVector var16 = new org.apache.commons.math.linear.ArrayRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    org.apache.commons.math.linear.RealVector var22 = var16.ebeDivide((org.apache.commons.math.linear.RealVector)var21);
    java.lang.Double var23 = new java.lang.Double(100.0d);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    java.lang.Double var25 = new java.lang.Double((-1.0d));
    double[] var26 = new double[] { var23, var24, var25};
    double var27 = var21.getL1Distance(var26);
    org.apache.commons.math.linear.RealVector var28 = var21.mapSignum();
    java.lang.String var29 = var21.toString();
    java.lang.Integer var30 = new java.lang.Integer(100);
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    java.lang.Double var32 = new java.lang.Double(10.0d);
    java.lang.Double var33 = new java.lang.Double(100.0d);
    int var34 = org.apache.commons.math.util.MathUtils.compareTo((double)var31, (double)var32, (double)var33);
    int var35 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var30, (int)var34);
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    java.lang.Double var37 = new java.lang.Double(10.0d);
    java.lang.Double var38 = new java.lang.Double(100.0d);
    int var39 = org.apache.commons.math.util.MathUtils.compareTo((double)var36, (double)var37, (double)var38);
    int var40 = org.apache.commons.math.util.MathUtils.gcd((int)var34, (int)var39);
    java.lang.Double var41 = new java.lang.Double((-1.0d));
    java.lang.Double var42 = new java.lang.Double(0.0d);
    java.lang.Double var43 = new java.lang.Double((-1.0d));
    double[] var44 = new double[] { var41, var42, var43};
    org.apache.commons.math.linear.ArrayRealVector var45 = new org.apache.commons.math.linear.ArrayRealVector(var44);
    java.lang.Double var46 = new java.lang.Double((-1.0d));
    java.lang.Double var47 = new java.lang.Double(0.0d);
    java.lang.Double var48 = new java.lang.Double((-1.0d));
    double[] var49 = new double[] { var46, var47, var48};
    org.apache.commons.math.linear.ArrayRealVector var50 = new org.apache.commons.math.linear.ArrayRealVector(var49);
    org.apache.commons.math.linear.RealVector var51 = var45.ebeDivide((org.apache.commons.math.linear.RealVector)var50);
    java.lang.Double var52 = new java.lang.Double((-1.0d));
    java.lang.Double var53 = new java.lang.Double(10.0d);
    java.lang.Double var54 = new java.lang.Double(100.0d);
    int var55 = org.apache.commons.math.util.MathUtils.compareTo((double)var52, (double)var53, (double)var54);
    java.lang.Double var56 = new java.lang.Double(1.0d);
    java.lang.Double var57 = new java.lang.Double(1.0d);
    boolean var58 = org.apache.commons.math.util.MathUtils.equals((double)var56, (double)var57);
    java.lang.Double var59 = new java.lang.Double((-1.0d));
    java.lang.Double var60 = new java.lang.Double(10.0d);
    java.lang.Double var61 = new java.lang.Double(100.0d);
    int var62 = org.apache.commons.math.util.MathUtils.compareTo((double)var59, (double)var60, (double)var61);
    boolean var63 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var54, (double)var57, (double)var61);
    org.apache.commons.math.linear.RealVector var64 = var45.append((double)var57);
    org.apache.commons.math.linear.RealVector var65 = var45.mapAcos();
    double[] var66 = var45.toArray();
    java.lang.Double var67 = new java.lang.Double(1.0d);
    java.lang.Double var68 = new java.lang.Double(1.0d);
    boolean var69 = org.apache.commons.math.util.MathUtils.equals((double)var67, (double)var68);
    java.lang.Double var70 = new java.lang.Double((-1.0d));
    java.lang.Double var71 = new java.lang.Double(10.0d);
    java.lang.Double var72 = new java.lang.Double(100.0d);
    int var73 = org.apache.commons.math.util.MathUtils.compareTo((double)var70, (double)var71, (double)var72);
    double var74 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var67, (double)var70);
    org.apache.commons.math.linear.RealVector var75 = var45.mapMultiplyToSelf((double)var74);
    org.apache.commons.math.linear.RealVector var76 = var45.mapSqrtToSelf();
    var21.set((int)var40, var45);
    double var78 = var21.getLInfNorm();
    boolean var79 = org.apache.commons.math.util.MathUtils.equals((double)var10, (double)var78);
    org.apache.commons.math.complex.Complex var80 = var1.multiply((double)var78);
    boolean var81 = var1.isInfinite();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var49 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var51 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var64 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var65 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var66 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var75 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var76 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var80 == null);

  }

  public void test47() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    int var11 = var4.getMaxIndex();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    boolean var18 = org.apache.commons.math.util.MathUtils.equals((double)var16, (double)var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    boolean var23 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var14, (double)var17, (double)var21);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var24 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var11, var23);
    java.lang.String var25 = var24.toString();
    var24.clear();
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var27 = var24.getMinImpl();
    int var28 = var24.getDimension();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);

  }

  public void test48() throws Throwable {

    org.apache.commons.math.linear.ArrayRealVector var0 = new org.apache.commons.math.linear.ArrayRealVector();
    java.lang.Double var1 = new java.lang.Double((-1.0d));
    double[] var2 = new double[] { var1};
    org.apache.commons.math.linear.OpenMapRealVector var3 = new org.apache.commons.math.linear.OpenMapRealVector(var2);
    java.lang.Double var4 = new java.lang.Double((-1.0d));
    double[] var5 = new double[] { var4};
    org.apache.commons.math.linear.OpenMapRealVector var6 = new org.apache.commons.math.linear.OpenMapRealVector(var5);
    org.apache.commons.math.linear.OpenMapRealVector var7 = var3.add(var6);
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    double[] var9 = new double[] { var8};
    org.apache.commons.math.linear.OpenMapRealVector var10 = new org.apache.commons.math.linear.OpenMapRealVector(var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    double[] var12 = new double[] { var11};
    org.apache.commons.math.linear.OpenMapRealVector var13 = new org.apache.commons.math.linear.OpenMapRealVector(var12);
    org.apache.commons.math.linear.OpenMapRealVector var14 = var10.add(var13);
    double var15 = var6.dotProduct(var13);
    org.apache.commons.math.linear.RealVector var16 = var0.append((org.apache.commons.math.linear.RealVector)var13);
    double var17 = var13.getLInfNorm();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var5 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var7 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);

  }

  public void test49() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var9.mapAsinToSelf();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(0.0d);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var12, var13, var14};
    org.apache.commons.math.linear.ArrayRealVector var16 = new org.apache.commons.math.linear.ArrayRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    org.apache.commons.math.linear.RealVector var22 = var16.ebeDivide((org.apache.commons.math.linear.RealVector)var21);
    org.apache.commons.math.linear.RealVector var23 = var16.mapRintToSelf();
    org.apache.commons.math.linear.ArrayRealVector var24 = var9.ebeDivide(var16);
    org.apache.commons.math.linear.RealVector var25 = var9.mapLog1pToSelf();
    java.lang.Double var26 = new java.lang.Double(10.0d);
    java.lang.Double var27 = new java.lang.Double(10.0d);
    java.lang.Double var28 = new java.lang.Double(10.0d);
    double[] var29 = new double[] { var26, var27, var28};
    org.apache.commons.math.linear.RealMatrix var30 = var9.outerProduct(var29);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);

  }

  public void test50() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(1.0d);
    java.lang.Double var3 = new java.lang.Double(1.0d);
    boolean var4 = org.apache.commons.math.util.MathUtils.equals((double)var2, (double)var3);
    int var5 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Double var6 = new java.lang.Double((-1.0d));
    java.lang.Double var7 = new java.lang.Double(0.0d);
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    double[] var9 = new double[] { var6, var7, var8};
    org.apache.commons.math.linear.ArrayRealVector var10 = new org.apache.commons.math.linear.ArrayRealVector(var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(0.0d);
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    double[] var14 = new double[] { var11, var12, var13};
    org.apache.commons.math.linear.ArrayRealVector var15 = new org.apache.commons.math.linear.ArrayRealVector(var14);
    org.apache.commons.math.linear.RealVector var16 = var10.ebeDivide((org.apache.commons.math.linear.RealVector)var15);
    org.apache.commons.math.linear.RealVector var17 = var10.mapLog10ToSelf();
    java.lang.Double var18 = new java.lang.Double(1.0d);
    org.apache.commons.math.linear.RealVector var19 = var10.mapMultiplyToSelf((double)var18);
    double var20 = org.apache.commons.math.util.MathUtils.indicator((double)var18);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(10.0d);
    java.lang.Double var23 = new java.lang.Double(100.0d);
    int var24 = org.apache.commons.math.util.MathUtils.compareTo((double)var21, (double)var22, (double)var23);
    double var25 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var18, (double)var22);
    java.lang.Integer var26 = new java.lang.Integer(10);
    java.lang.Integer var27 = new java.lang.Integer(10);
    double var28 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var26, (int)var27);
    java.lang.Integer var29 = new java.lang.Integer(0);
    java.lang.Long var30 = new java.lang.Long(100L);
    int var31 = org.apache.commons.math.util.MathUtils.pow((int)var29, (long)var30);
    double var32 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var27, (int)var29);
    boolean var33 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var2, (double)var22, (int)var29);
    java.lang.Integer var34 = new java.lang.Integer(100);
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    java.lang.Double var36 = new java.lang.Double(10.0d);
    java.lang.Double var37 = new java.lang.Double(100.0d);
    int var38 = org.apache.commons.math.util.MathUtils.compareTo((double)var35, (double)var36, (double)var37);
    int var39 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var34, (int)var38);
    int var40 = org.apache.commons.math.util.MathUtils.gcd((int)var29, (int)var38);
    org.apache.commons.math.linear.OpenMapRealVector var41 = new org.apache.commons.math.linear.OpenMapRealVector();
    double var42 = var41.getSparsity();
    java.lang.Double var43 = new java.lang.Double((-1.0d));
    java.lang.Double var44 = new java.lang.Double(0.0d);
    java.lang.Double var45 = new java.lang.Double((-1.0d));
    double[] var46 = new double[] { var43, var44, var45};
    org.apache.commons.math.linear.ArrayRealVector var47 = new org.apache.commons.math.linear.ArrayRealVector(var46);
    java.lang.Double var48 = new java.lang.Double((-1.0d));
    java.lang.Double var49 = new java.lang.Double(0.0d);
    java.lang.Double var50 = new java.lang.Double((-1.0d));
    double[] var51 = new double[] { var48, var49, var50};
    org.apache.commons.math.linear.ArrayRealVector var52 = new org.apache.commons.math.linear.ArrayRealVector(var51);
    org.apache.commons.math.linear.RealVector var53 = var47.ebeDivide((org.apache.commons.math.linear.RealVector)var52);
    java.lang.Double var54 = new java.lang.Double(100.0d);
    java.lang.Double var55 = new java.lang.Double((-1.0d));
    java.lang.Double var56 = new java.lang.Double((-1.0d));
    double[] var57 = new double[] { var54, var55, var56};
    double var58 = var52.getL1Distance(var57);
    java.lang.Double var59 = new java.lang.Double((-1.0d));
    double[] var60 = new double[] { var59};
    org.apache.commons.math.linear.OpenMapRealVector var61 = new org.apache.commons.math.linear.OpenMapRealVector(var60);
    int var62 = var61.getDimension();
    java.lang.Double var63 = new java.lang.Double((-1.0d));
    java.lang.Double var64 = new java.lang.Double(0.0d);
    java.lang.Double var65 = new java.lang.Double((-1.0d));
    double[] var66 = new double[] { var63, var64, var65};
    org.apache.commons.math.linear.ArrayRealVector var67 = new org.apache.commons.math.linear.ArrayRealVector(var66);
    java.lang.Double var68 = new java.lang.Double((-1.0d));
    java.lang.Double var69 = new java.lang.Double(0.0d);
    java.lang.Double var70 = new java.lang.Double((-1.0d));
    double[] var71 = new double[] { var68, var69, var70};
    org.apache.commons.math.linear.ArrayRealVector var72 = new org.apache.commons.math.linear.ArrayRealVector(var71);
    org.apache.commons.math.linear.RealVector var73 = var67.ebeDivide((org.apache.commons.math.linear.RealVector)var72);
    java.lang.Double var74 = new java.lang.Double((-1.0d));
    java.lang.Double var75 = new java.lang.Double(10.0d);
    java.lang.Double var76 = new java.lang.Double(100.0d);
    int var77 = org.apache.commons.math.util.MathUtils.compareTo((double)var74, (double)var75, (double)var76);
    org.apache.commons.math.linear.RealVector var78 = var72.mapPowToSelf((double)var76);
    org.apache.commons.math.linear.ArrayRealVector var79 = new org.apache.commons.math.linear.ArrayRealVector(var62, var76);
    boolean var80 = org.apache.commons.math.util.MathUtils.equals((double)var42, (double)var58, (double)var76);
    org.apache.commons.math.linear.OpenMapRealVector var81 = new org.apache.commons.math.linear.OpenMapRealVector(var40, var76);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var46 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var51 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var53 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var57 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var60 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var66 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var71 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var73 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var78 == null);

  }

  public void test51() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(100.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    double[] var14 = new double[] { var11, var12, var13};
    double var15 = var9.getL1Distance(var14);
    org.apache.commons.math.linear.RealVector var16 = var9.mapSignum();
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    java.lang.Double var23 = new java.lang.Double(0.0d);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    double[] var25 = new double[] { var22, var23, var24};
    org.apache.commons.math.linear.ArrayRealVector var26 = new org.apache.commons.math.linear.ArrayRealVector(var25);
    org.apache.commons.math.linear.RealVector var27 = var21.ebeDivide((org.apache.commons.math.linear.RealVector)var26);
    org.apache.commons.math.linear.ArrayRealVector var28 = var9.add(var21);
    org.apache.commons.math.linear.RealVector var29 = var21.mapTanhToSelf();
    java.lang.Double var30 = new java.lang.Double((-1.0d));
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    double[] var32 = new double[] { var30, var31};
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double(10.0d);
    java.lang.Double var35 = new java.lang.Double(100.0d);
    int var36 = org.apache.commons.math.util.MathUtils.compareTo((double)var33, (double)var34, (double)var35);
    org.apache.commons.math.optimization.linear.LinearObjectiveFunction var37 = new org.apache.commons.math.optimization.linear.LinearObjectiveFunction(var32, var34);
    org.apache.commons.math.linear.RealVector var38 = var21.mapAddToSelf((double)var34);
    org.apache.commons.math.linear.RealVector var39 = var21.mapSinToSelf();
    org.apache.commons.math.linear.RealVector var40 = var21.mapTanhToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);

  }

  public void test52() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var9.mapAsinToSelf();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(0.0d);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var12, var13, var14};
    org.apache.commons.math.linear.ArrayRealVector var16 = new org.apache.commons.math.linear.ArrayRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    org.apache.commons.math.linear.RealVector var22 = var16.ebeDivide((org.apache.commons.math.linear.RealVector)var21);
    org.apache.commons.math.linear.RealVector var23 = var16.mapRintToSelf();
    org.apache.commons.math.linear.ArrayRealVector var24 = var9.ebeDivide(var16);
    org.apache.commons.math.linear.RealVector var25 = var9.mapLog1pToSelf();
    org.apache.commons.math.linear.AbstractRealVector var26 = var9.copy();
    org.apache.commons.math.linear.RealVector var27 = var9.mapRintToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);

  }

  public void test53() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var4.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var12 = var4.mapInvToSelf();
    double[] var13 = new double[] { };
    org.apache.commons.math.linear.ArrayRealVector var14 = new org.apache.commons.math.linear.ArrayRealVector(var4, var13);
    org.apache.commons.math.linear.RealVector var15 = var4.mapCbrt();
    java.lang.Double var16 = new java.lang.Double((-1.0d));
    java.lang.Double var17 = new java.lang.Double(10.0d);
    java.lang.Double var18 = new java.lang.Double(1.0d);
    java.lang.Double var19 = new java.lang.Double(1.0d);
    boolean var20 = org.apache.commons.math.util.MathUtils.equals((double)var18, (double)var19);
    int var21 = org.apache.commons.math.util.MathUtils.compareTo((double)var16, (double)var17, (double)var18);
    org.apache.commons.math.linear.RealVector var22 = var4.mapDivideToSelf((double)var17);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);

  }

  public void test54() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var4.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var12 = var4.mapInvToSelf();
    double[] var13 = new double[] { };
    org.apache.commons.math.linear.ArrayRealVector var14 = new org.apache.commons.math.linear.ArrayRealVector(var4, var13);
    org.apache.commons.math.linear.RealVector var15 = var4.mapCbrt();
    org.apache.commons.math.linear.RealVector var16 = var4.mapCbrtToSelf();
    org.apache.commons.math.linear.RealVector var17 = var4.mapTanh();
    org.apache.commons.math.linear.AbstractRealVector var18 = var4.copy();
    double var19 = var18.getLInfNorm();
    org.apache.commons.math.linear.RealVector var20 = var18.mapCosToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);

  }

  public void test55() throws Throwable {

    java.lang.Double var0 = new java.lang.Double(100.0d);
    java.lang.Double var1 = new java.lang.Double(0.0d);
    double[] var2 = new double[] { var0, var1};
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    java.lang.Double var4 = new java.lang.Double(0.0d);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    double[] var6 = new double[] { var3, var4, var5};
    org.apache.commons.math.linear.ArrayRealVector var7 = new org.apache.commons.math.linear.ArrayRealVector(var6);
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    java.lang.Double var9 = new java.lang.Double(0.0d);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var8, var9, var10};
    org.apache.commons.math.linear.ArrayRealVector var12 = new org.apache.commons.math.linear.ArrayRealVector(var11);
    org.apache.commons.math.linear.RealVector var13 = var7.ebeDivide((org.apache.commons.math.linear.RealVector)var12);
    org.apache.commons.math.linear.RealVector var14 = var7.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var15 = var7.mapInvToSelf();
    double[] var16 = new double[] { };
    org.apache.commons.math.linear.ArrayRealVector var17 = new org.apache.commons.math.linear.ArrayRealVector(var7, var16);
    org.apache.commons.math.linear.ArrayRealVector var18 = new org.apache.commons.math.linear.ArrayRealVector(var2, var17);
    org.apache.commons.math.linear.RealVector var19 = var17.mapAsinToSelf();
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    double[] var22 = new double[] { var20, var21};
    org.apache.commons.math.linear.ArrayRealVector var23 = new org.apache.commons.math.linear.ArrayRealVector(var22);
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      double var24 = var17.getDistance(var23);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);

  }

  public void test56() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var4.mapAtanToSelf();
    org.apache.commons.math.linear.ArrayRealVector var12 = new org.apache.commons.math.linear.ArrayRealVector(var4);
    org.apache.commons.math.linear.RealVector var13 = var12.mapSqrtToSelf();
    org.apache.commons.math.linear.RealVector var14 = var12.mapLogToSelf();
    org.apache.commons.math.linear.RealVector var15 = var12.mapLog1p();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);

  }

  public void test57() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp[] var9 = var8.getPiSplit();
    org.apache.commons.math.dfp.Dfp var10 = var8.getE();
    org.apache.commons.math.dfp.Dfp var11 = var8.getZero();
    org.apache.commons.math.dfp.Dfp var12 = var8.getTwo();
    org.apache.commons.math.dfp.Dfp[] var13 = var8.getPiSplit();
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    java.lang.Double var15 = new java.lang.Double(10.0d);
    java.lang.Double var16 = new java.lang.Double(100.0d);
    int var17 = org.apache.commons.math.util.MathUtils.compareTo((double)var14, (double)var15, (double)var16);
    java.lang.Integer var18 = new java.lang.Integer(0);
    java.lang.Long var19 = new java.lang.Long(100L);
    int var20 = org.apache.commons.math.util.MathUtils.pow((int)var18, (long)var19);
    int var21 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var17, (int)var18);
    org.apache.commons.math.dfp.DfpField var22 = new org.apache.commons.math.dfp.DfpField(var17);
    org.apache.commons.math.dfp.Dfp var23 = var22.getOne();
    int var24 = var23.log10K();
    org.apache.commons.math.dfp.Dfp var25 = var8.newDfp(var23);
    org.apache.commons.math.dfp.Dfp var26 = var8.getLn2();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);

  }

  public void test58() throws Throwable {

    org.apache.commons.math.linear.ArrayRealVector var0 = new org.apache.commons.math.linear.ArrayRealVector();
    java.lang.Double var1 = new java.lang.Double((-1.0d));
    double[] var2 = new double[] { var1};
    org.apache.commons.math.linear.OpenMapRealVector var3 = new org.apache.commons.math.linear.OpenMapRealVector(var2);
    java.lang.Double var4 = new java.lang.Double((-1.0d));
    double[] var5 = new double[] { var4};
    org.apache.commons.math.linear.OpenMapRealVector var6 = new org.apache.commons.math.linear.OpenMapRealVector(var5);
    org.apache.commons.math.linear.OpenMapRealVector var7 = var3.add(var6);
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    double[] var9 = new double[] { var8};
    org.apache.commons.math.linear.OpenMapRealVector var10 = new org.apache.commons.math.linear.OpenMapRealVector(var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    double[] var12 = new double[] { var11};
    org.apache.commons.math.linear.OpenMapRealVector var13 = new org.apache.commons.math.linear.OpenMapRealVector(var12);
    org.apache.commons.math.linear.OpenMapRealVector var14 = var10.add(var13);
    double var15 = var6.dotProduct(var13);
    org.apache.commons.math.linear.RealVector var16 = var0.append((org.apache.commons.math.linear.RealVector)var13);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    double[] var18 = new double[] { var17};
    org.apache.commons.math.linear.ArrayRealVector var19 = new org.apache.commons.math.linear.ArrayRealVector(var0, var18);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var5 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var7 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);

  }

  public void test59() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    int var3 = var2.getDimension();
    java.lang.Double var4 = new java.lang.Double((-1.0d));
    java.lang.Double var5 = new java.lang.Double(0.0d);
    java.lang.Double var6 = new java.lang.Double((-1.0d));
    double[] var7 = new double[] { var4, var5, var6};
    org.apache.commons.math.linear.ArrayRealVector var8 = new org.apache.commons.math.linear.ArrayRealVector(var7);
    java.lang.Double var9 = new java.lang.Double((-1.0d));
    java.lang.Double var10 = new java.lang.Double(0.0d);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    double[] var12 = new double[] { var9, var10, var11};
    org.apache.commons.math.linear.ArrayRealVector var13 = new org.apache.commons.math.linear.ArrayRealVector(var12);
    org.apache.commons.math.linear.RealVector var14 = var8.ebeDivide((org.apache.commons.math.linear.RealVector)var13);
    java.lang.Double var15 = new java.lang.Double((-1.0d));
    java.lang.Double var16 = new java.lang.Double(10.0d);
    java.lang.Double var17 = new java.lang.Double(100.0d);
    int var18 = org.apache.commons.math.util.MathUtils.compareTo((double)var15, (double)var16, (double)var17);
    org.apache.commons.math.linear.RealVector var19 = var13.mapPowToSelf((double)var17);
    org.apache.commons.math.linear.ArrayRealVector var20 = new org.apache.commons.math.linear.ArrayRealVector(var3, var17);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    double[] var22 = new double[] { var21};
    org.apache.commons.math.linear.OpenMapRealVector var23 = new org.apache.commons.math.linear.OpenMapRealVector(var22);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    double[] var25 = new double[] { var24};
    org.apache.commons.math.linear.OpenMapRealVector var26 = new org.apache.commons.math.linear.OpenMapRealVector(var25);
    org.apache.commons.math.linear.OpenMapRealVector var27 = var23.add(var26);
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    double[] var29 = new double[] { var28};
    org.apache.commons.math.linear.OpenMapRealVector var30 = new org.apache.commons.math.linear.OpenMapRealVector(var29);
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    double[] var32 = new double[] { var31};
    org.apache.commons.math.linear.OpenMapRealVector var33 = new org.apache.commons.math.linear.OpenMapRealVector(var32);
    org.apache.commons.math.linear.OpenMapRealVector var34 = var30.add(var33);
    double var35 = var26.dotProduct(var33);
    org.apache.commons.math.linear.RealVector var36 = var33.mapAtanToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var37 = var33.copy();
    java.lang.Double var38 = new java.lang.Double(0.0d);
    java.lang.Double var39 = new java.lang.Double((-1.0d));
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    int var41 = org.apache.commons.math.util.MathUtils.compareTo((double)var38, (double)var39, (double)var40);
    org.apache.commons.math.linear.RealVector var42 = var33.mapMultiply((double)var39);
    org.apache.commons.math.linear.RealVector var43 = var20.ebeDivide((org.apache.commons.math.linear.RealVector)var33);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var7 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var43 == null);

  }

  public void test60() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    double var11 = var9.getNorm();
    java.util.Iterator var12 = var9.sparseIterator();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);

  }

  public void test61() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    int var11 = var4.getMaxIndex();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    boolean var18 = org.apache.commons.math.util.MathUtils.equals((double)var16, (double)var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    boolean var23 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var14, (double)var17, (double)var21);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var24 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var11, var23);
    double[] var25 = var24.getStandardDeviation();
    int var26 = var24.getDimension();
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var27 = var24.getMaxImpl();
    double[] var28 = var24.getSumSq();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var29 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation();
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var30 = new org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] { var29};
    var24.setSumLogImpl(var30);
    var24.clear();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);

  }

  public void test62() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(100.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    double[] var14 = new double[] { var11, var12, var13};
    double var15 = var9.getL1Distance(var14);
    java.lang.Double[] var16 = new java.lang.Double[] { var15};
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(10.0d);
    java.lang.Double var19 = new java.lang.Double(100.0d);
    int var20 = org.apache.commons.math.util.MathUtils.compareTo((double)var17, (double)var18, (double)var19);
    java.lang.Integer var21 = new java.lang.Integer(0);
    java.lang.Long var22 = new java.lang.Long(100L);
    int var23 = org.apache.commons.math.util.MathUtils.pow((int)var21, (long)var22);
    int var24 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var20, (int)var21);
    double var25 = org.apache.commons.math.util.MathUtils.factorialLog((int)var24);
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    java.lang.Double var27 = new java.lang.Double(10.0d);
    java.lang.Double var28 = new java.lang.Double(100.0d);
    int var29 = org.apache.commons.math.util.MathUtils.compareTo((double)var26, (double)var27, (double)var28);
    java.lang.Integer var30 = new java.lang.Integer(0);
    java.lang.Long var31 = new java.lang.Long(100L);
    int var32 = org.apache.commons.math.util.MathUtils.pow((int)var30, (long)var31);
    int var33 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var29, (int)var30);
    org.apache.commons.math.dfp.DfpField var34 = new org.apache.commons.math.dfp.DfpField(var29);
    org.apache.commons.math.dfp.Dfp var35 = var34.getOne();
    int var36 = var35.log10K();
    java.lang.Integer var37 = new java.lang.Integer(100);
    java.lang.Double var38 = new java.lang.Double((-1.0d));
    java.lang.Double var39 = new java.lang.Double(10.0d);
    java.lang.Double var40 = new java.lang.Double(100.0d);
    int var41 = org.apache.commons.math.util.MathUtils.compareTo((double)var38, (double)var39, (double)var40);
    int var42 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var37, (int)var41);
    java.lang.Double var43 = new java.lang.Double((-1.0d));
    java.lang.Double var44 = new java.lang.Double(10.0d);
    java.lang.Double var45 = new java.lang.Double(100.0d);
    int var46 = org.apache.commons.math.util.MathUtils.compareTo((double)var43, (double)var44, (double)var45);
    int var47 = org.apache.commons.math.util.MathUtils.gcd((int)var41, (int)var46);
    org.apache.commons.math.dfp.Dfp var48 = var35.power10K((int)var41);
    java.lang.Integer var49 = new java.lang.Integer(100);
    java.lang.Double var50 = new java.lang.Double((-1.0d));
    java.lang.Double var51 = new java.lang.Double(10.0d);
    java.lang.Double var52 = new java.lang.Double(100.0d);
    int var53 = org.apache.commons.math.util.MathUtils.compareTo((double)var50, (double)var51, (double)var52);
    int var54 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var49, (int)var53);
    java.lang.Double var55 = new java.lang.Double((-1.0d));
    java.lang.Double var56 = new java.lang.Double(10.0d);
    java.lang.Double var57 = new java.lang.Double(100.0d);
    int var58 = org.apache.commons.math.util.MathUtils.compareTo((double)var55, (double)var56, (double)var57);
    int var59 = org.apache.commons.math.util.MathUtils.gcd((int)var53, (int)var58);
    org.apache.commons.math.dfp.Dfp var60 = var35.power10((int)var58);
    java.lang.Double var61 = new java.lang.Double((-1.0d));
    java.lang.Double var62 = new java.lang.Double(10.0d);
    java.lang.Double var63 = new java.lang.Double(100.0d);
    int var64 = org.apache.commons.math.util.MathUtils.compareTo((double)var61, (double)var62, (double)var63);
    org.apache.commons.math.dfp.Dfp var65 = var35.divide((int)var64);
    int var66 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var24, (int)var64);
    java.lang.Double var67 = new java.lang.Double((-1.0d));
    java.lang.Double var68 = new java.lang.Double(10.0d);
    java.lang.Double var69 = new java.lang.Double(100.0d);
    int var70 = org.apache.commons.math.util.MathUtils.compareTo((double)var67, (double)var68, (double)var69);
    java.lang.Integer var71 = new java.lang.Integer(0);
    java.lang.Long var72 = new java.lang.Long(100L);
    int var73 = org.apache.commons.math.util.MathUtils.pow((int)var71, (long)var72);
    int var74 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var70, (int)var71);
    org.apache.commons.math.linear.ArrayRealVector var75 = new org.apache.commons.math.linear.ArrayRealVector(var16, var64, var74);
    org.apache.commons.math.linear.RealVector var76 = var75.mapAcosToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var48 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var60 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var65 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var76 == null);

  }

  public void test63() throws Throwable {

    org.apache.commons.math.complex.ComplexField var0 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var1 = var0.getZero();
    double var2 = var1.getArgument();
    org.apache.commons.math.complex.Complex var3 = var1.exp();
    org.apache.commons.math.complex.Complex var4 = var3.sinh();
    boolean var5 = var3.isNaN();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var6 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var7 = var6.copy();
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    java.lang.Double var9 = new java.lang.Double(0.0d);
    double[] var10 = new double[] { var8, var9};
    var6.incrementAll(var10);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(0.0d);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var12, var13, var14};
    org.apache.commons.math.linear.ArrayRealVector var16 = new org.apache.commons.math.linear.ArrayRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    org.apache.commons.math.linear.RealVector var22 = var16.ebeDivide((org.apache.commons.math.linear.RealVector)var21);
    org.apache.commons.math.linear.RealVector var23 = var16.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var24 = var16.mapInvToSelf();
    org.apache.commons.math.linear.RealVector var25 = var16.mapCeilToSelf();
    double var26 = var16.getL1Norm();
    boolean var27 = var6.equals((java.lang.Object)var26);
    org.apache.commons.math.complex.Complex var28 = var3.multiply((double)var26);
    org.apache.commons.math.complex.Complex var29 = var3.exp();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var7 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);

  }

  public void test64() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    int var11 = var4.getMaxIndex();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    boolean var18 = org.apache.commons.math.util.MathUtils.equals((double)var16, (double)var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    boolean var23 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var14, (double)var17, (double)var21);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var24 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var11, var23);
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var25 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation(var23);
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    double[] var27 = new double[] { var26};
    var25.incrementAll(var27);
    java.lang.Double var29 = new java.lang.Double(100.0d);
    double[] var30 = new double[] { var29};
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    double[] var32 = new double[] { var31};
    org.apache.commons.math.linear.OpenMapRealVector var33 = new org.apache.commons.math.linear.OpenMapRealVector(var32);
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    double[] var35 = new double[] { var34};
    org.apache.commons.math.linear.OpenMapRealVector var36 = new org.apache.commons.math.linear.OpenMapRealVector(var35);
    org.apache.commons.math.linear.OpenMapRealVector var37 = var33.add(var36);
    org.apache.commons.math.complex.ComplexField var38 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var39 = var38.getZero();
    org.apache.commons.math.complex.Complex var40 = var39.sinh();
    double var41 = var39.getImaginary();
    double var42 = org.apache.commons.math.util.MathUtils.indicator((double)var41);
    java.lang.Double var43 = new java.lang.Double((-1.0d));
    java.lang.Double var44 = new java.lang.Double(0.0d);
    java.lang.Double var45 = new java.lang.Double((-1.0d));
    double[] var46 = new double[] { var43, var44, var45};
    org.apache.commons.math.linear.ArrayRealVector var47 = new org.apache.commons.math.linear.ArrayRealVector(var46);
    java.lang.Double var48 = new java.lang.Double((-1.0d));
    java.lang.Double var49 = new java.lang.Double(0.0d);
    java.lang.Double var50 = new java.lang.Double((-1.0d));
    double[] var51 = new double[] { var48, var49, var50};
    org.apache.commons.math.linear.ArrayRealVector var52 = new org.apache.commons.math.linear.ArrayRealVector(var51);
    org.apache.commons.math.linear.RealVector var53 = var47.ebeDivide((org.apache.commons.math.linear.RealVector)var52);
    org.apache.commons.math.linear.RealVector var54 = var47.mapLog10ToSelf();
    java.lang.Double var55 = new java.lang.Double(1.0d);
    org.apache.commons.math.linear.RealVector var56 = var47.mapMultiplyToSelf((double)var55);
    double var57 = org.apache.commons.math.util.MathUtils.indicator((double)var55);
    java.lang.Double var58 = new java.lang.Double(0.0d);
    boolean var59 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var41, (double)var57, (double)var58);
    org.apache.commons.math.linear.OpenMapRealVector var60 = var37.mapAdd((double)var58);
    double[] var61 = var60.getData();
    double var62 = var60.getLInfNorm();
    double var63 = var25.evaluate(var30, (double)var62);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var46 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var51 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var53 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var54 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var56 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var60 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var61 == null);

  }

  public void test65() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    java.lang.Double var11 = new java.lang.Double(10.0d);
    java.lang.Double var12 = new java.lang.Double(100.0d);
    int var13 = org.apache.commons.math.util.MathUtils.compareTo((double)var10, (double)var11, (double)var12);
    java.lang.Integer var14 = new java.lang.Integer(0);
    java.lang.Long var15 = new java.lang.Long(100L);
    int var16 = org.apache.commons.math.util.MathUtils.pow((int)var14, (long)var15);
    int var17 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var13, (int)var14);
    org.apache.commons.math.dfp.DfpField var18 = new org.apache.commons.math.dfp.DfpField(var13);
    org.apache.commons.math.dfp.Dfp var19 = var18.getOne();
    org.apache.commons.math.dfp.Dfp var20 = var8.newDfp(var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(10.0d);
    java.lang.Double var23 = new java.lang.Double(100.0d);
    int var24 = org.apache.commons.math.util.MathUtils.compareTo((double)var21, (double)var22, (double)var23);
    java.lang.Integer var25 = new java.lang.Integer(0);
    java.lang.Long var26 = new java.lang.Long(100L);
    int var27 = org.apache.commons.math.util.MathUtils.pow((int)var25, (long)var26);
    int var28 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var24, (int)var25);
    org.apache.commons.math.dfp.DfpField var29 = new org.apache.commons.math.dfp.DfpField(var24);
    org.apache.commons.math.dfp.Dfp var30 = var29.getOne();
    org.apache.commons.math.dfp.Dfp var31 = var29.getOne();
    java.lang.Double var32 = new java.lang.Double((-1.0d));
    java.lang.Double var33 = new java.lang.Double(10.0d);
    java.lang.Double var34 = new java.lang.Double(100.0d);
    int var35 = org.apache.commons.math.util.MathUtils.compareTo((double)var32, (double)var33, (double)var34);
    java.lang.Integer var36 = new java.lang.Integer(0);
    java.lang.Long var37 = new java.lang.Long(100L);
    int var38 = org.apache.commons.math.util.MathUtils.pow((int)var36, (long)var37);
    int var39 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var35, (int)var36);
    org.apache.commons.math.dfp.DfpField var40 = new org.apache.commons.math.dfp.DfpField(var35);
    org.apache.commons.math.dfp.Dfp var41 = var40.getOne();
    java.lang.Double var42 = new java.lang.Double((-1.0d));
    java.lang.Double var43 = new java.lang.Double(10.0d);
    java.lang.Double var44 = new java.lang.Double(100.0d);
    int var45 = org.apache.commons.math.util.MathUtils.compareTo((double)var42, (double)var43, (double)var44);
    java.lang.Integer var46 = new java.lang.Integer(0);
    java.lang.Long var47 = new java.lang.Long(100L);
    int var48 = org.apache.commons.math.util.MathUtils.pow((int)var46, (long)var47);
    int var49 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var45, (int)var46);
    org.apache.commons.math.dfp.DfpField var50 = new org.apache.commons.math.dfp.DfpField(var45);
    org.apache.commons.math.dfp.Dfp var51 = var50.getOne();
    org.apache.commons.math.dfp.Dfp var52 = var40.newDfp(var51);
    java.lang.Double var53 = new java.lang.Double((-1.0d));
    java.lang.Double var54 = new java.lang.Double(10.0d);
    java.lang.Double var55 = new java.lang.Double(100.0d);
    int var56 = org.apache.commons.math.util.MathUtils.compareTo((double)var53, (double)var54, (double)var55);
    java.lang.Integer var57 = new java.lang.Integer(0);
    java.lang.Long var58 = new java.lang.Long(100L);
    int var59 = org.apache.commons.math.util.MathUtils.pow((int)var57, (long)var58);
    int var60 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var56, (int)var57);
    org.apache.commons.math.dfp.DfpField var61 = new org.apache.commons.math.dfp.DfpField(var56);
    org.apache.commons.math.dfp.Dfp var62 = var61.getOne();
    boolean var63 = var51.greaterThan(var62);
    java.lang.Integer var64 = new java.lang.Integer(100);
    java.lang.Double var65 = new java.lang.Double((-1.0d));
    java.lang.Double var66 = new java.lang.Double(10.0d);
    java.lang.Double var67 = new java.lang.Double(100.0d);
    int var68 = org.apache.commons.math.util.MathUtils.compareTo((double)var65, (double)var66, (double)var67);
    int var69 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var64, (int)var68);
    org.apache.commons.math.dfp.Dfp var70 = org.apache.commons.math.dfp.DfpMath.pow(var62, (int)var69);
    org.apache.commons.math.dfp.Dfp var71 = org.apache.commons.math.dfp.DfpMath.pow(var31, var62);
    java.lang.Double var72 = new java.lang.Double((-1.0d));
    java.lang.Double var73 = new java.lang.Double(10.0d);
    java.lang.Double var74 = new java.lang.Double(100.0d);
    int var75 = org.apache.commons.math.util.MathUtils.compareTo((double)var72, (double)var73, (double)var74);
    java.lang.Integer var76 = new java.lang.Integer(0);
    java.lang.Long var77 = new java.lang.Long(100L);
    int var78 = org.apache.commons.math.util.MathUtils.pow((int)var76, (long)var77);
    int var79 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var75, (int)var76);
    org.apache.commons.math.dfp.DfpField var80 = new org.apache.commons.math.dfp.DfpField(var75);
    org.apache.commons.math.dfp.Dfp var81 = var80.getOne();
    java.lang.Long var82 = new java.lang.Long((-1L));
    java.lang.Long var83 = new java.lang.Long(0L);
    long var84 = org.apache.commons.math.util.MathUtils.pow((long)var82, (long)var83);
    org.apache.commons.math.dfp.Dfp var85 = var80.newDfp((long)var84);
    org.apache.commons.math.dfp.Dfp var86 = var85.rint();
    boolean var87 = var71.lessThan(var86);
    java.lang.Byte var88 = new java.lang.Byte((byte)10);
    org.apache.commons.math.dfp.Dfp var89 = var86.newInstance((byte)var88);
    org.apache.commons.math.dfp.Dfp var90 = var20.multiply(var89);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var51 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var52 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var62 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var70 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var71 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var81 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var85 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var86 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var89 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var90 == null);

  }

  public void test66() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    org.apache.commons.math.linear.RealVector var15 = var9.mapPowToSelf((double)var13);
    java.lang.Double[] var16 = new java.lang.Double[] { var13};
    org.apache.commons.math.linear.ArrayRealVector var17 = new org.apache.commons.math.linear.ArrayRealVector(var16);
    org.apache.commons.math.linear.RealVector var18 = var17.mapCbrtToSelf();
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var19};
    org.apache.commons.math.linear.OpenMapRealVector var21 = new org.apache.commons.math.linear.OpenMapRealVector(var20);
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    double[] var23 = new double[] { var22};
    org.apache.commons.math.linear.OpenMapRealVector var24 = new org.apache.commons.math.linear.OpenMapRealVector(var23);
    org.apache.commons.math.linear.OpenMapRealVector var25 = var21.add(var24);
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    double[] var27 = new double[] { var26};
    org.apache.commons.math.linear.OpenMapRealVector var28 = new org.apache.commons.math.linear.OpenMapRealVector(var27);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    double[] var30 = new double[] { var29};
    org.apache.commons.math.linear.OpenMapRealVector var31 = new org.apache.commons.math.linear.OpenMapRealVector(var30);
    org.apache.commons.math.linear.OpenMapRealVector var32 = var28.add(var31);
    double var33 = var24.dotProduct(var31);
    org.apache.commons.math.linear.RealVector var34 = var31.mapAtanToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var35 = var31.copy();
    java.lang.Double var36 = new java.lang.Double(0.0d);
    java.lang.Double var37 = new java.lang.Double((-1.0d));
    java.lang.Double var38 = new java.lang.Double((-1.0d));
    int var39 = org.apache.commons.math.util.MathUtils.compareTo((double)var36, (double)var37, (double)var38);
    org.apache.commons.math.linear.RealVector var40 = var31.mapMultiply((double)var37);
    org.apache.commons.math.linear.RealVector var41 = var17.mapMultiplyToSelf((double)var37);
    org.apache.commons.math.linear.ArrayRealVector var42 = new org.apache.commons.math.linear.ArrayRealVector(var17);
    org.apache.commons.math.linear.RealVector var43 = var17.mapSqrt();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var43 == null);

  }

  public void test67() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    org.apache.commons.math.linear.RealVector var5 = var4.mapExpm1();
    org.apache.commons.math.linear.RealVector var6 = var4.mapSignumToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var5 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);

  }

  public void test68() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    double var11 = var9.getNorm();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(0.0d);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var12, var13, var14};
    org.apache.commons.math.linear.ArrayRealVector var16 = new org.apache.commons.math.linear.ArrayRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    org.apache.commons.math.linear.RealVector var22 = var16.ebeDivide((org.apache.commons.math.linear.RealVector)var21);
    java.lang.Double var23 = new java.lang.Double(100.0d);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    java.lang.Double var25 = new java.lang.Double((-1.0d));
    double[] var26 = new double[] { var23, var24, var25};
    double var27 = var21.getL1Distance(var26);
    org.apache.commons.math.linear.RealVector var28 = var21.mapSignum();
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double(0.0d);
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    double[] var32 = new double[] { var29, var30, var31};
    org.apache.commons.math.linear.ArrayRealVector var33 = new org.apache.commons.math.linear.ArrayRealVector(var32);
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    java.lang.Double var35 = new java.lang.Double(0.0d);
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    double[] var37 = new double[] { var34, var35, var36};
    org.apache.commons.math.linear.ArrayRealVector var38 = new org.apache.commons.math.linear.ArrayRealVector(var37);
    org.apache.commons.math.linear.RealVector var39 = var33.ebeDivide((org.apache.commons.math.linear.RealVector)var38);
    org.apache.commons.math.linear.ArrayRealVector var40 = var21.add(var33);
    org.apache.commons.math.linear.RealVector var41 = var33.mapTanhToSelf();
    java.lang.Double var42 = new java.lang.Double((-1.0d));
    java.lang.Double var43 = new java.lang.Double((-1.0d));
    double[] var44 = new double[] { var42, var43};
    java.lang.Double var45 = new java.lang.Double((-1.0d));
    java.lang.Double var46 = new java.lang.Double(10.0d);
    java.lang.Double var47 = new java.lang.Double(100.0d);
    int var48 = org.apache.commons.math.util.MathUtils.compareTo((double)var45, (double)var46, (double)var47);
    org.apache.commons.math.optimization.linear.LinearObjectiveFunction var49 = new org.apache.commons.math.optimization.linear.LinearObjectiveFunction(var44, var46);
    org.apache.commons.math.linear.RealVector var50 = var33.mapAddToSelf((double)var46);
    org.apache.commons.math.complex.Complex var51 = new org.apache.commons.math.complex.Complex(var11, var46);
    double var52 = var51.getImaginary();
    java.lang.Double var53 = new java.lang.Double((-1.0d));
    java.lang.Double var54 = new java.lang.Double(0.0d);
    java.lang.Double var55 = new java.lang.Double((-1.0d));
    double[] var56 = new double[] { var53, var54, var55};
    org.apache.commons.math.linear.ArrayRealVector var57 = new org.apache.commons.math.linear.ArrayRealVector(var56);
    java.lang.Double var58 = new java.lang.Double((-1.0d));
    java.lang.Double var59 = new java.lang.Double(0.0d);
    java.lang.Double var60 = new java.lang.Double((-1.0d));
    double[] var61 = new double[] { var58, var59, var60};
    org.apache.commons.math.linear.ArrayRealVector var62 = new org.apache.commons.math.linear.ArrayRealVector(var61);
    org.apache.commons.math.linear.RealVector var63 = var57.ebeDivide((org.apache.commons.math.linear.RealVector)var62);
    java.lang.Double var64 = new java.lang.Double(100.0d);
    java.lang.Double var65 = new java.lang.Double((-1.0d));
    java.lang.Double var66 = new java.lang.Double((-1.0d));
    double[] var67 = new double[] { var64, var65, var66};
    double var68 = var62.getL1Distance(var67);
    double var69 = org.apache.commons.math.util.MathUtils.nextAfter((double)var52, (double)var68);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var50 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var56 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var61 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var63 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var67 == null);

  }

  public void test69() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    java.lang.Double var11 = new java.lang.Double(10.0d);
    java.lang.Double var12 = new java.lang.Double(100.0d);
    int var13 = org.apache.commons.math.util.MathUtils.compareTo((double)var10, (double)var11, (double)var12);
    java.lang.Integer var14 = new java.lang.Integer(0);
    java.lang.Long var15 = new java.lang.Long(100L);
    int var16 = org.apache.commons.math.util.MathUtils.pow((int)var14, (long)var15);
    int var17 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var13, (int)var14);
    org.apache.commons.math.dfp.DfpField var18 = new org.apache.commons.math.dfp.DfpField(var13);
    org.apache.commons.math.dfp.Dfp var19 = var18.getOne();
    org.apache.commons.math.dfp.Dfp var20 = var8.newDfp(var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(10.0d);
    java.lang.Double var23 = new java.lang.Double(100.0d);
    int var24 = org.apache.commons.math.util.MathUtils.compareTo((double)var21, (double)var22, (double)var23);
    java.lang.Integer var25 = new java.lang.Integer(0);
    java.lang.Long var26 = new java.lang.Long(100L);
    int var27 = org.apache.commons.math.util.MathUtils.pow((int)var25, (long)var26);
    int var28 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var24, (int)var25);
    org.apache.commons.math.dfp.DfpField var29 = new org.apache.commons.math.dfp.DfpField(var24);
    org.apache.commons.math.dfp.Dfp var30 = var29.getOne();
    boolean var31 = var19.greaterThan(var30);
    java.lang.Integer var32 = new java.lang.Integer(100);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double(10.0d);
    java.lang.Double var35 = new java.lang.Double(100.0d);
    int var36 = org.apache.commons.math.util.MathUtils.compareTo((double)var33, (double)var34, (double)var35);
    int var37 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var32, (int)var36);
    org.apache.commons.math.dfp.Dfp var38 = org.apache.commons.math.dfp.DfpMath.pow(var30, (int)var37);
    org.apache.commons.math.dfp.Dfp var39 = org.apache.commons.math.dfp.DfpMath.acos(var38);
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    java.lang.Double var41 = new java.lang.Double(10.0d);
    java.lang.Double var42 = new java.lang.Double(100.0d);
    int var43 = org.apache.commons.math.util.MathUtils.compareTo((double)var40, (double)var41, (double)var42);
    java.lang.Integer var44 = new java.lang.Integer(0);
    java.lang.Long var45 = new java.lang.Long(100L);
    int var46 = org.apache.commons.math.util.MathUtils.pow((int)var44, (long)var45);
    int var47 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var43, (int)var44);
    org.apache.commons.math.dfp.DfpField var48 = new org.apache.commons.math.dfp.DfpField(var43);
    org.apache.commons.math.dfp.Dfp var49 = var48.getOne();
    int var50 = var48.getRadixDigits();
    java.lang.Double var51 = new java.lang.Double((-1.0d));
    java.lang.Double var52 = new java.lang.Double(10.0d);
    java.lang.Double var53 = new java.lang.Double(100.0d);
    int var54 = org.apache.commons.math.util.MathUtils.compareTo((double)var51, (double)var52, (double)var53);
    java.lang.Integer var55 = new java.lang.Integer(0);
    java.lang.Long var56 = new java.lang.Long(100L);
    int var57 = org.apache.commons.math.util.MathUtils.pow((int)var55, (long)var56);
    int var58 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var54, (int)var55);
    org.apache.commons.math.dfp.DfpField var59 = new org.apache.commons.math.dfp.DfpField(var54);
    org.apache.commons.math.dfp.Dfp var60 = var59.getOne();
    org.apache.commons.math.dfp.DfpField.RoundingMode var61 = var59.getRoundingMode();
    var48.setRoundingMode(var61);
    int var63 = var48.getIEEEFlags();
    org.apache.commons.math.dfp.Dfp var64 = org.apache.commons.math.dfp.DfpMath.pow(var39, (int)var63);
    org.apache.commons.math.dfp.Dfp var65 = org.apache.commons.math.dfp.DfpMath.atan(var64);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var49 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var60 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var61 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var64 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var65 == null);

  }

  public void test70() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    int var3 = var2.getDimension();
    org.apache.commons.math.linear.RealVector var4 = var2.mapSinToSelf();
    boolean var5 = var2.isInfinite();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);

  }

  public void test71() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var4.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var12 = var4.mapInvToSelf();
    double[] var13 = new double[] { };
    org.apache.commons.math.linear.ArrayRealVector var14 = new org.apache.commons.math.linear.ArrayRealVector(var4, var13);
    org.apache.commons.math.linear.RealVector var15 = var4.mapCbrt();
    java.lang.Double var16 = new java.lang.Double((-1.0d));
    java.lang.Double var17 = new java.lang.Double(0.0d);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    double[] var19 = new double[] { var16, var17, var18};
    org.apache.commons.math.linear.ArrayRealVector var20 = new org.apache.commons.math.linear.ArrayRealVector(var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(0.0d);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    double[] var24 = new double[] { var21, var22, var23};
    org.apache.commons.math.linear.ArrayRealVector var25 = new org.apache.commons.math.linear.ArrayRealVector(var24);
    org.apache.commons.math.linear.RealVector var26 = var20.ebeDivide((org.apache.commons.math.linear.RealVector)var25);
    org.apache.commons.math.linear.RealVector var27 = var25.mapAsinToSelf();
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    java.lang.Double var29 = new java.lang.Double(0.0d);
    java.lang.Double var30 = new java.lang.Double((-1.0d));
    double[] var31 = new double[] { var28, var29, var30};
    org.apache.commons.math.linear.ArrayRealVector var32 = new org.apache.commons.math.linear.ArrayRealVector(var31);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double(0.0d);
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    double[] var36 = new double[] { var33, var34, var35};
    org.apache.commons.math.linear.ArrayRealVector var37 = new org.apache.commons.math.linear.ArrayRealVector(var36);
    org.apache.commons.math.linear.RealVector var38 = var32.ebeDivide((org.apache.commons.math.linear.RealVector)var37);
    java.lang.Double var39 = new java.lang.Double(100.0d);
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    java.lang.Double var41 = new java.lang.Double((-1.0d));
    double[] var42 = new double[] { var39, var40, var41};
    double var43 = var37.getL1Distance(var42);
    org.apache.commons.math.linear.RealVector var44 = var37.mapSignum();
    java.lang.Double var45 = new java.lang.Double((-1.0d));
    java.lang.Double var46 = new java.lang.Double(0.0d);
    java.lang.Double var47 = new java.lang.Double((-1.0d));
    double[] var48 = new double[] { var45, var46, var47};
    org.apache.commons.math.linear.ArrayRealVector var49 = new org.apache.commons.math.linear.ArrayRealVector(var48);
    java.lang.Double var50 = new java.lang.Double((-1.0d));
    java.lang.Double var51 = new java.lang.Double(0.0d);
    java.lang.Double var52 = new java.lang.Double((-1.0d));
    double[] var53 = new double[] { var50, var51, var52};
    org.apache.commons.math.linear.ArrayRealVector var54 = new org.apache.commons.math.linear.ArrayRealVector(var53);
    org.apache.commons.math.linear.RealVector var55 = var49.ebeDivide((org.apache.commons.math.linear.RealVector)var54);
    org.apache.commons.math.linear.ArrayRealVector var56 = var37.add(var49);
    org.apache.commons.math.linear.ArrayRealVector var57 = var25.ebeDivide(var49);
    double var58 = var4.getDistance((org.apache.commons.math.linear.RealVector)var49);
    java.lang.Double var59 = new java.lang.Double(10.0d);
    java.lang.Double var60 = new java.lang.Double(100.0d);
    double[] var61 = new double[] { var59, var60};
    org.apache.commons.math.linear.ArrayRealVector var62 = new org.apache.commons.math.linear.ArrayRealVector(var61);
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.ArrayRealVector var63 = var4.ebeDivide(var62);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var48 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var53 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var55 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var56 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var57 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var61 == null);

  }

  public void test72() throws Throwable {

    java.lang.Double var0 = new java.lang.Double(100.0d);
    java.lang.Double var1 = new java.lang.Double(0.0d);
    double[] var2 = new double[] { var0, var1};
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    java.lang.Double var4 = new java.lang.Double(0.0d);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    double[] var6 = new double[] { var3, var4, var5};
    org.apache.commons.math.linear.ArrayRealVector var7 = new org.apache.commons.math.linear.ArrayRealVector(var6);
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    java.lang.Double var9 = new java.lang.Double(0.0d);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var8, var9, var10};
    org.apache.commons.math.linear.ArrayRealVector var12 = new org.apache.commons.math.linear.ArrayRealVector(var11);
    org.apache.commons.math.linear.RealVector var13 = var7.ebeDivide((org.apache.commons.math.linear.RealVector)var12);
    org.apache.commons.math.linear.RealVector var14 = var7.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var15 = var7.mapInvToSelf();
    double[] var16 = new double[] { };
    org.apache.commons.math.linear.ArrayRealVector var17 = new org.apache.commons.math.linear.ArrayRealVector(var7, var16);
    org.apache.commons.math.linear.ArrayRealVector var18 = new org.apache.commons.math.linear.ArrayRealVector(var2, var17);
    java.util.Iterator var19 = var17.iterator();
    org.apache.commons.math.linear.RealVector var20 = var17.mapInvToSelf();
    org.apache.commons.math.linear.RealVector var21 = var17.mapTanhToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);

  }

  public void test73() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    org.apache.commons.math.linear.OpenMapRealVector var7 = new org.apache.commons.math.linear.OpenMapRealVector(var6);
    boolean var8 = var7.isNaN();
    java.lang.Double var9 = new java.lang.Double((-1.0d));
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var9, var10};
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    org.apache.commons.math.optimization.linear.LinearObjectiveFunction var16 = new org.apache.commons.math.optimization.linear.LinearObjectiveFunction(var11, var13);
    org.apache.commons.math.linear.RealVector var17 = var7.mapDivideToSelf((double)var13);
    org.apache.commons.math.linear.RealVector var18 = var7.mapAcosToSelf();
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var19};
    org.apache.commons.math.linear.OpenMapRealVector var21 = new org.apache.commons.math.linear.OpenMapRealVector(var20);
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    double[] var23 = new double[] { var22};
    org.apache.commons.math.linear.OpenMapRealVector var24 = new org.apache.commons.math.linear.OpenMapRealVector(var23);
    org.apache.commons.math.linear.OpenMapRealVector var25 = var21.add(var24);
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    double[] var27 = new double[] { var26};
    org.apache.commons.math.linear.OpenMapRealVector var28 = new org.apache.commons.math.linear.OpenMapRealVector(var27);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    double[] var30 = new double[] { var29};
    org.apache.commons.math.linear.OpenMapRealVector var31 = new org.apache.commons.math.linear.OpenMapRealVector(var30);
    org.apache.commons.math.linear.OpenMapRealVector var32 = var28.add(var31);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    double[] var34 = new double[] { var33};
    org.apache.commons.math.linear.OpenMapRealVector var35 = new org.apache.commons.math.linear.OpenMapRealVector(var34);
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    double[] var37 = new double[] { var36};
    org.apache.commons.math.linear.OpenMapRealVector var38 = new org.apache.commons.math.linear.OpenMapRealVector(var37);
    org.apache.commons.math.linear.OpenMapRealVector var39 = var35.add(var38);
    double var40 = var31.dotProduct(var38);
    org.apache.commons.math.linear.RealVector var41 = var38.mapAtanToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var42 = var38.copy();
    org.apache.commons.math.linear.OpenMapRealVector var43 = var25.subtract((org.apache.commons.math.linear.RealVector)var38);
    java.lang.Double var44 = new java.lang.Double((-1.0d));
    double[] var45 = new double[] { var44};
    org.apache.commons.math.linear.OpenMapRealVector var46 = new org.apache.commons.math.linear.OpenMapRealVector(var45);
    java.lang.Double var47 = new java.lang.Double((-1.0d));
    double[] var48 = new double[] { var47};
    org.apache.commons.math.linear.OpenMapRealVector var49 = new org.apache.commons.math.linear.OpenMapRealVector(var48);
    org.apache.commons.math.linear.OpenMapRealVector var50 = var46.add(var49);
    org.apache.commons.math.linear.OpenMapRealVector var51 = new org.apache.commons.math.linear.OpenMapRealVector(var50);
    double var52 = var25.getDistance(var51);
    org.apache.commons.math.linear.RealVector var53 = var51.mapCos();
    org.apache.commons.math.linear.OpenMapRealVector var54 = var7.append(var51);
    java.util.Iterator var55 = var54.iterator();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var43 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var45 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var48 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var50 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var53 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var54 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var55 == null);

  }

  public void test74() throws Throwable {

    java.lang.Double var0 = new java.lang.Double(0.0d);
    java.lang.Double var1 = new java.lang.Double(100.0d);
    java.lang.Double var2 = new java.lang.Double(0.0d);
    double[] var3 = new double[] { var0, var1, var2};
    java.lang.Double var4 = new java.lang.Double(1.0d);
    java.lang.Double var5 = new java.lang.Double(1.0d);
    boolean var6 = org.apache.commons.math.util.MathUtils.equals((double)var4, (double)var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    java.lang.Double var8 = new java.lang.Double(10.0d);
    java.lang.Double var9 = new java.lang.Double(100.0d);
    int var10 = org.apache.commons.math.util.MathUtils.compareTo((double)var7, (double)var8, (double)var9);
    double var11 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var4, (double)var7);
    org.apache.commons.math.linear.OpenMapRealVector var12 = new org.apache.commons.math.linear.OpenMapRealVector(var3, var11);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);

  }

  public void test75() throws Throwable {

    java.lang.Integer var0 = new java.lang.Integer((-1));
    java.lang.Integer var1 = new java.lang.Integer(1);
    java.lang.Integer var2 = new java.lang.Integer(100);
    int[] var3 = new int[] { var0, var1, var2};
    java.lang.Integer var4 = new java.lang.Integer(1);
    java.lang.Integer var5 = new java.lang.Integer(10);
    int[] var6 = new int[] { var4, var5};
    // The following exception was thrown during execution.
    // Exception class: class java.lang.ArrayIndexOutOfBoundsException with canonical name: java.lang.ArrayIndexOutOfBoundsException
    // This behavior will recorded for regression testing.
    try {
      int var7 = org.apache.commons.math.util.MathUtils.distance1(var3, var6);
      fail("Expected exception of type java.lang.ArrayIndexOutOfBoundsException");
    } catch (java.lang.ArrayIndexOutOfBoundsException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);

  }

  public void test76() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    java.lang.Double var11 = new java.lang.Double(10.0d);
    java.lang.Double var12 = new java.lang.Double(100.0d);
    int var13 = org.apache.commons.math.util.MathUtils.compareTo((double)var10, (double)var11, (double)var12);
    java.lang.Integer var14 = new java.lang.Integer(0);
    java.lang.Long var15 = new java.lang.Long(100L);
    int var16 = org.apache.commons.math.util.MathUtils.pow((int)var14, (long)var15);
    int var17 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var13, (int)var14);
    org.apache.commons.math.dfp.DfpField var18 = new org.apache.commons.math.dfp.DfpField(var13);
    org.apache.commons.math.dfp.Dfp var19 = var18.getOne();
    java.lang.Double var20 = new java.lang.Double((-1.0d));
    java.lang.Double var21 = new java.lang.Double(10.0d);
    java.lang.Double var22 = new java.lang.Double(100.0d);
    int var23 = org.apache.commons.math.util.MathUtils.compareTo((double)var20, (double)var21, (double)var22);
    java.lang.Integer var24 = new java.lang.Integer(0);
    java.lang.Long var25 = new java.lang.Long(100L);
    int var26 = org.apache.commons.math.util.MathUtils.pow((int)var24, (long)var25);
    int var27 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var23, (int)var24);
    org.apache.commons.math.dfp.DfpField var28 = new org.apache.commons.math.dfp.DfpField(var23);
    org.apache.commons.math.dfp.Dfp var29 = var28.getOne();
    org.apache.commons.math.dfp.Dfp var30 = var18.newDfp(var29);
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    java.lang.Double var32 = new java.lang.Double(10.0d);
    java.lang.Double var33 = new java.lang.Double(100.0d);
    int var34 = org.apache.commons.math.util.MathUtils.compareTo((double)var31, (double)var32, (double)var33);
    java.lang.Integer var35 = new java.lang.Integer(0);
    java.lang.Long var36 = new java.lang.Long(100L);
    int var37 = org.apache.commons.math.util.MathUtils.pow((int)var35, (long)var36);
    int var38 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var34, (int)var35);
    org.apache.commons.math.dfp.DfpField var39 = new org.apache.commons.math.dfp.DfpField(var34);
    org.apache.commons.math.dfp.Dfp var40 = var39.getOne();
    boolean var41 = var29.greaterThan(var40);
    org.apache.commons.math.dfp.Dfp var42 = var9.remainder(var40);
    org.apache.commons.math.dfp.Dfp var43 = var42.rint();
    int var44 = var43.log10();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var43 == null);

  }

  public void test77() throws Throwable {

    java.lang.Double var0 = new java.lang.Double(0.0d);
    java.lang.Double var1 = new java.lang.Double(10.0d);
    double[] var2 = new double[] { var0, var1};
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    java.lang.Double var6 = new java.lang.Double((-1.0d));
    double[] var7 = new double[] { var6};
    org.apache.commons.math.linear.OpenMapRealVector var8 = new org.apache.commons.math.linear.OpenMapRealVector(var7);
    org.apache.commons.math.linear.OpenMapRealVector var9 = var5.add(var8);
    org.apache.commons.math.complex.ComplexField var10 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var11 = var10.getZero();
    org.apache.commons.math.complex.Complex var12 = var11.sinh();
    double var13 = var11.getImaginary();
    double var14 = org.apache.commons.math.util.MathUtils.indicator((double)var13);
    java.lang.Double var15 = new java.lang.Double((-1.0d));
    java.lang.Double var16 = new java.lang.Double(0.0d);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    double[] var18 = new double[] { var15, var16, var17};
    org.apache.commons.math.linear.ArrayRealVector var19 = new org.apache.commons.math.linear.ArrayRealVector(var18);
    java.lang.Double var20 = new java.lang.Double((-1.0d));
    java.lang.Double var21 = new java.lang.Double(0.0d);
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    double[] var23 = new double[] { var20, var21, var22};
    org.apache.commons.math.linear.ArrayRealVector var24 = new org.apache.commons.math.linear.ArrayRealVector(var23);
    org.apache.commons.math.linear.RealVector var25 = var19.ebeDivide((org.apache.commons.math.linear.RealVector)var24);
    org.apache.commons.math.linear.RealVector var26 = var19.mapLog10ToSelf();
    java.lang.Double var27 = new java.lang.Double(1.0d);
    org.apache.commons.math.linear.RealVector var28 = var19.mapMultiplyToSelf((double)var27);
    double var29 = org.apache.commons.math.util.MathUtils.indicator((double)var27);
    java.lang.Double var30 = new java.lang.Double(0.0d);
    boolean var31 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var13, (double)var29, (double)var30);
    org.apache.commons.math.linear.OpenMapRealVector var32 = var9.mapAdd((double)var30);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    double[] var34 = new double[] { var33};
    org.apache.commons.math.linear.OpenMapRealVector var35 = new org.apache.commons.math.linear.OpenMapRealVector(var34);
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    double[] var37 = new double[] { var36};
    org.apache.commons.math.linear.OpenMapRealVector var38 = new org.apache.commons.math.linear.OpenMapRealVector(var37);
    org.apache.commons.math.linear.OpenMapRealVector var39 = var35.add(var38);
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    double[] var41 = new double[] { var40};
    org.apache.commons.math.linear.OpenMapRealVector var42 = new org.apache.commons.math.linear.OpenMapRealVector(var41);
    java.lang.Double var43 = new java.lang.Double((-1.0d));
    double[] var44 = new double[] { var43};
    org.apache.commons.math.linear.OpenMapRealVector var45 = new org.apache.commons.math.linear.OpenMapRealVector(var44);
    org.apache.commons.math.linear.OpenMapRealVector var46 = var42.add(var45);
    double var47 = var38.dotProduct(var45);
    java.lang.Double var48 = new java.lang.Double(1.0d);
    java.lang.Double var49 = new java.lang.Double(1.0d);
    boolean var50 = org.apache.commons.math.util.MathUtils.equals((double)var48, (double)var49);
    java.lang.Double var51 = new java.lang.Double((-1.0d));
    java.lang.Double var52 = new java.lang.Double(10.0d);
    java.lang.Double var53 = new java.lang.Double(100.0d);
    int var54 = org.apache.commons.math.util.MathUtils.compareTo((double)var51, (double)var52, (double)var53);
    double var55 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var48, (double)var51);
    var45.set((double)var51);
    org.apache.commons.math.linear.OpenMapRealVector var57 = var32.append(var45);
    org.apache.commons.math.complex.ComplexField var58 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var59 = var58.getZero();
    double var60 = var59.getArgument();
    org.apache.commons.math.linear.RealVector var61 = var32.mapPow((double)var60);
    org.apache.commons.math.linear.OpenMapRealVector var62 = new org.apache.commons.math.linear.OpenMapRealVector(var2, var60);
    org.apache.commons.math.linear.RealVector var63 = var62.mapTan();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var7 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var46 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var57 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var58 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var59 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var61 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var63 == null);

  }

  public void test78() throws Throwable {

    double[] var0 = new double[] { };
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    java.lang.Double var3 = new java.lang.Double(0.0d);
    double[] var4 = new double[] { var1, var2, var3};
    double var5 = org.apache.commons.math.util.MathUtils.distanceInf(var0, var4);
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    int var9 = org.apache.commons.math.util.MathUtils.compareTo((double)var6, (double)var7, (double)var8);
    org.apache.commons.math.complex.Complex var10 = org.apache.commons.math.complex.ComplexUtils.polar2Complex((double)var5, (double)var6);
    java.lang.Double var11 = new java.lang.Double(0.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    double[] var13 = new double[] { var11, var12};
    java.lang.Double var14 = new java.lang.Double(1.0d);
    java.lang.Double var15 = new java.lang.Double(1.0d);
    boolean var16 = org.apache.commons.math.util.MathUtils.equals((double)var14, (double)var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(10.0d);
    java.lang.Double var19 = new java.lang.Double(100.0d);
    int var20 = org.apache.commons.math.util.MathUtils.compareTo((double)var17, (double)var18, (double)var19);
    double var21 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var14, (double)var17);
    double[] var22 = org.apache.commons.math.util.MathUtils.normalizeArray(var13, (double)var14);
    java.lang.Integer var23 = new java.lang.Integer(0);
    java.lang.Long var24 = new java.lang.Long(100L);
    int var25 = org.apache.commons.math.util.MathUtils.pow((int)var23, (long)var24);
    java.lang.Integer var26 = new java.lang.Integer(100);
    java.lang.Double var27 = new java.lang.Double((-1.0d));
    java.lang.Double var28 = new java.lang.Double(10.0d);
    java.lang.Double var29 = new java.lang.Double(100.0d);
    int var30 = org.apache.commons.math.util.MathUtils.compareTo((double)var27, (double)var28, (double)var29);
    int var31 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var26, (int)var30);
    java.lang.Integer var32 = new java.lang.Integer(100);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double(10.0d);
    java.lang.Double var35 = new java.lang.Double(100.0d);
    int var36 = org.apache.commons.math.util.MathUtils.compareTo((double)var33, (double)var34, (double)var35);
    int var37 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var32, (int)var36);
    int var38 = org.apache.commons.math.util.MathUtils.lcm((int)var30, (int)var37);
    int var39 = org.apache.commons.math.util.MathUtils.lcm((int)var23, (int)var37);
    boolean var40 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var5, (double)var14, (int)var37);
    java.lang.Long var41 = new java.lang.Long(10L);
    java.lang.Long var42 = new java.lang.Long(0L);
    long var43 = org.apache.commons.math.util.MathUtils.indicator((long)var42);
    long var44 = org.apache.commons.math.util.MathUtils.mulAndCheck((long)var41, (long)var42);
    int var45 = org.apache.commons.math.util.MathUtils.pow((int)var37, (long)var41);
    long var46 = org.apache.commons.math.util.MathUtils.indicator((long)var41);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);

  }

  public void test79() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var7};
    org.apache.commons.math.linear.OpenMapRealVector var9 = new org.apache.commons.math.linear.OpenMapRealVector(var8);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var10};
    org.apache.commons.math.linear.OpenMapRealVector var12 = new org.apache.commons.math.linear.OpenMapRealVector(var11);
    org.apache.commons.math.linear.OpenMapRealVector var13 = var9.add(var12);
    org.apache.commons.math.linear.OpenMapRealVector var14 = new org.apache.commons.math.linear.OpenMapRealVector(var13);
    boolean var15 = var14.isNaN();
    org.apache.commons.math.linear.RealVector var16 = var5.projection((org.apache.commons.math.linear.RealVector)var14);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    double[] var18 = new double[] { var17};
    org.apache.commons.math.linear.OpenMapRealVector var19 = var14.ebeMultiply(var18);
    boolean var20 = var19.isNaN();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);

  }

  public void test80() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(0.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    org.apache.commons.math.linear.RealVector var15 = var4.mapDivide((double)var12);
    java.lang.Double var16 = new java.lang.Double((-1.0d));
    java.lang.Double var17 = new java.lang.Double(0.0d);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    double[] var19 = new double[] { var16, var17, var18};
    org.apache.commons.math.linear.ArrayRealVector var20 = new org.apache.commons.math.linear.ArrayRealVector(var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(0.0d);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    double[] var24 = new double[] { var21, var22, var23};
    org.apache.commons.math.linear.ArrayRealVector var25 = new org.apache.commons.math.linear.ArrayRealVector(var24);
    org.apache.commons.math.linear.RealVector var26 = var20.ebeDivide((org.apache.commons.math.linear.RealVector)var25);
    org.apache.commons.math.linear.RealVector var27 = var20.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var28 = var20.mapInvToSelf();
    org.apache.commons.math.linear.ArrayRealVector var29 = var4.subtract(var20);
    org.apache.commons.math.linear.RealVector var30 = var20.mapCosToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);

  }

//  public void test81() throws Throwable {
//
//    org.apache.commons.math.complex.ComplexField var0 = org.apache.commons.math.complex.ComplexField.getInstance();
//    org.apache.commons.math.complex.Complex var1 = var0.getZero();
//    double var2 = var1.getArgument();
//    org.apache.commons.math.complex.Complex var3 = var1.exp();
//    java.lang.Double var4 = new java.lang.Double(1.0d);
//    java.lang.Double var5 = new java.lang.Double(1.0d);
//    boolean var6 = org.apache.commons.math.util.MathUtils.equals((double)var4, (double)var5);
//    boolean var7 = var1.equals((java.lang.Object)var5);
//    java.lang.Double var8 = new java.lang.Double((-1.0d));
//    java.lang.Double var9 = new java.lang.Double(10.0d);
//    java.lang.Double var10 = new java.lang.Double(100.0d);
//    int var11 = org.apache.commons.math.util.MathUtils.compareTo((double)var8, (double)var9, (double)var10);
//    java.lang.Double var12 = new java.lang.Double((-1.0d));
//    java.lang.Double var13 = new java.lang.Double(0.0d);
//    java.lang.Double var14 = new java.lang.Double((-1.0d));
//    double[] var15 = new double[] { var12, var13, var14};
//    org.apache.commons.math.linear.ArrayRealVector var16 = new org.apache.commons.math.linear.ArrayRealVector(var15);
//    java.lang.Double var17 = new java.lang.Double((-1.0d));
//    java.lang.Double var18 = new java.lang.Double(0.0d);
//    java.lang.Double var19 = new java.lang.Double((-1.0d));
//    double[] var20 = new double[] { var17, var18, var19};
//    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
//    org.apache.commons.math.linear.RealVector var22 = var16.ebeDivide((org.apache.commons.math.linear.RealVector)var21);
//    java.lang.Double var23 = new java.lang.Double(100.0d);
//    java.lang.Double var24 = new java.lang.Double((-1.0d));
//    java.lang.Double var25 = new java.lang.Double((-1.0d));
//    double[] var26 = new double[] { var23, var24, var25};
//    double var27 = var21.getL1Distance(var26);
//    org.apache.commons.math.linear.RealVector var28 = var21.mapSignum();
//    java.lang.String var29 = var21.toString();
//    java.lang.Integer var30 = new java.lang.Integer(100);
//    java.lang.Double var31 = new java.lang.Double((-1.0d));
//    java.lang.Double var32 = new java.lang.Double(10.0d);
//    java.lang.Double var33 = new java.lang.Double(100.0d);
//    int var34 = org.apache.commons.math.util.MathUtils.compareTo((double)var31, (double)var32, (double)var33);
//    int var35 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var30, (int)var34);
//    java.lang.Double var36 = new java.lang.Double((-1.0d));
//    java.lang.Double var37 = new java.lang.Double(10.0d);
//    java.lang.Double var38 = new java.lang.Double(100.0d);
//    int var39 = org.apache.commons.math.util.MathUtils.compareTo((double)var36, (double)var37, (double)var38);
//    int var40 = org.apache.commons.math.util.MathUtils.gcd((int)var34, (int)var39);
//    java.lang.Double var41 = new java.lang.Double((-1.0d));
//    java.lang.Double var42 = new java.lang.Double(0.0d);
//    java.lang.Double var43 = new java.lang.Double((-1.0d));
//    double[] var44 = new double[] { var41, var42, var43};
//    org.apache.commons.math.linear.ArrayRealVector var45 = new org.apache.commons.math.linear.ArrayRealVector(var44);
//    java.lang.Double var46 = new java.lang.Double((-1.0d));
//    java.lang.Double var47 = new java.lang.Double(0.0d);
//    java.lang.Double var48 = new java.lang.Double((-1.0d));
//    double[] var49 = new double[] { var46, var47, var48};
//    org.apache.commons.math.linear.ArrayRealVector var50 = new org.apache.commons.math.linear.ArrayRealVector(var49);
//    org.apache.commons.math.linear.RealVector var51 = var45.ebeDivide((org.apache.commons.math.linear.RealVector)var50);
//    java.lang.Double var52 = new java.lang.Double((-1.0d));
//    java.lang.Double var53 = new java.lang.Double(10.0d);
//    java.lang.Double var54 = new java.lang.Double(100.0d);
//    int var55 = org.apache.commons.math.util.MathUtils.compareTo((double)var52, (double)var53, (double)var54);
//    java.lang.Double var56 = new java.lang.Double(1.0d);
//    java.lang.Double var57 = new java.lang.Double(1.0d);
//    boolean var58 = org.apache.commons.math.util.MathUtils.equals((double)var56, (double)var57);
//    java.lang.Double var59 = new java.lang.Double((-1.0d));
//    java.lang.Double var60 = new java.lang.Double(10.0d);
//    java.lang.Double var61 = new java.lang.Double(100.0d);
//    int var62 = org.apache.commons.math.util.MathUtils.compareTo((double)var59, (double)var60, (double)var61);
//    boolean var63 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var54, (double)var57, (double)var61);
//    org.apache.commons.math.linear.RealVector var64 = var45.append((double)var57);
//    org.apache.commons.math.linear.RealVector var65 = var45.mapAcos();
//    double[] var66 = var45.toArray();
//    java.lang.Double var67 = new java.lang.Double(1.0d);
//    java.lang.Double var68 = new java.lang.Double(1.0d);
//    boolean var69 = org.apache.commons.math.util.MathUtils.equals((double)var67, (double)var68);
//    java.lang.Double var70 = new java.lang.Double((-1.0d));
//    java.lang.Double var71 = new java.lang.Double(10.0d);
//    java.lang.Double var72 = new java.lang.Double(100.0d);
//    int var73 = org.apache.commons.math.util.MathUtils.compareTo((double)var70, (double)var71, (double)var72);
//    double var74 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var67, (double)var70);
//    org.apache.commons.math.linear.RealVector var75 = var45.mapMultiplyToSelf((double)var74);
//    org.apache.commons.math.linear.RealVector var76 = var45.mapSqrtToSelf();
//    var21.set((int)var40, var45);
//    double var78 = var21.getLInfNorm();
//    boolean var79 = org.apache.commons.math.util.MathUtils.equals((double)var10, (double)var78);
//    org.apache.commons.math.complex.Complex var80 = var1.multiply((double)var78);
//    org.apache.commons.math.complex.ComplexField var81 = var1.getField();
//    org.apache.commons.math.complex.Complex var82 = var81.getZero();
//    org.apache.commons.math.complex.Complex var83 = var82.conjugate();
//    
//    // Checks the contract:  equals-hashcode on var1 and var83
//    assertTrue("Contract failed: equals-hashcode on var1 and var83", var1.equals(var83) ? var1.hashCode() == var83.hashCode() : true);
//    
//    // Checks the contract:  equals-hashcode on var82 and var83
//    assertTrue("Contract failed: equals-hashcode on var82 and var83", var82.equals(var83) ? var82.hashCode() == var83.hashCode() : true);
//    
//    // Checks the contract:  equals-hashcode on var83 and var1
//    assertTrue("Contract failed: equals-hashcode on var83 and var1", var83.equals(var1) ? var83.hashCode() == var1.hashCode() : true);
//    
//    // Checks the contract:  equals-hashcode on var83 and var82
//    assertTrue("Contract failed: equals-hashcode on var83 and var82", var83.equals(var82) ? var83.hashCode() == var82.hashCode() : true);
//
//  }

  public void test82() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double((-1.0d));
    double[] var2 = new double[] { var0, var1};
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    java.lang.Double var4 = new java.lang.Double(10.0d);
    java.lang.Double var5 = new java.lang.Double(100.0d);
    int var6 = org.apache.commons.math.util.MathUtils.compareTo((double)var3, (double)var4, (double)var5);
    org.apache.commons.math.optimization.linear.LinearObjectiveFunction var7 = new org.apache.commons.math.optimization.linear.LinearObjectiveFunction(var2, var4);
    double var8 = var7.getConstantTerm();
    java.lang.Double var9 = new java.lang.Double(0.0d);
    java.lang.Double var10 = new java.lang.Double(0.0d);
    double[] var11 = new double[] { var9, var10};
    double var12 = var7.getValue(var11);
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    java.lang.Double var14 = new java.lang.Double(10.0d);
    java.lang.Double var15 = new java.lang.Double(100.0d);
    int var16 = org.apache.commons.math.util.MathUtils.compareTo((double)var13, (double)var14, (double)var15);
    java.lang.Integer var17 = new java.lang.Integer(0);
    java.lang.Long var18 = new java.lang.Long(100L);
    int var19 = org.apache.commons.math.util.MathUtils.pow((int)var17, (long)var18);
    int var20 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var16, (int)var17);
    org.apache.commons.math.dfp.DfpField var21 = new org.apache.commons.math.dfp.DfpField(var16);
    org.apache.commons.math.dfp.Dfp var22 = var21.getOne();
    int var23 = var21.getRadixDigits();
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    java.lang.Double var25 = new java.lang.Double(10.0d);
    java.lang.Double var26 = new java.lang.Double(100.0d);
    int var27 = org.apache.commons.math.util.MathUtils.compareTo((double)var24, (double)var25, (double)var26);
    java.lang.Integer var28 = new java.lang.Integer(0);
    java.lang.Long var29 = new java.lang.Long(100L);
    int var30 = org.apache.commons.math.util.MathUtils.pow((int)var28, (long)var29);
    int var31 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var27, (int)var28);
    org.apache.commons.math.dfp.DfpField var32 = new org.apache.commons.math.dfp.DfpField(var27);
    org.apache.commons.math.dfp.Dfp var33 = var32.getOne();
    org.apache.commons.math.dfp.DfpField.RoundingMode var34 = var32.getRoundingMode();
    var21.setRoundingMode(var34);
    boolean var36 = var7.equals((java.lang.Object)var34);
    org.apache.commons.math.linear.RealVector var37 = var7.getCoefficients();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);

  }

  public void test83() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var7};
    org.apache.commons.math.linear.OpenMapRealVector var9 = new org.apache.commons.math.linear.OpenMapRealVector(var8);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var10};
    org.apache.commons.math.linear.OpenMapRealVector var12 = new org.apache.commons.math.linear.OpenMapRealVector(var11);
    org.apache.commons.math.linear.OpenMapRealVector var13 = var9.add(var12);
    double var14 = var5.dotProduct(var12);
    org.apache.commons.math.linear.RealVector var15 = var12.mapAtanToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var16 = var12.copy();
    java.lang.Double var17 = new java.lang.Double(0.0d);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    int var20 = org.apache.commons.math.util.MathUtils.compareTo((double)var17, (double)var18, (double)var19);
    org.apache.commons.math.linear.RealVector var21 = var12.mapMultiply((double)var18);
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    double[] var23 = new double[] { var22};
    org.apache.commons.math.linear.OpenMapRealVector var24 = new org.apache.commons.math.linear.OpenMapRealVector(var23);
    java.lang.Double var25 = new java.lang.Double((-1.0d));
    double[] var26 = new double[] { var25};
    org.apache.commons.math.linear.OpenMapRealVector var27 = new org.apache.commons.math.linear.OpenMapRealVector(var26);
    org.apache.commons.math.linear.OpenMapRealVector var28 = var24.add(var27);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    double[] var30 = new double[] { var29};
    org.apache.commons.math.linear.OpenMapRealVector var31 = new org.apache.commons.math.linear.OpenMapRealVector(var30);
    java.lang.Double var32 = new java.lang.Double((-1.0d));
    double[] var33 = new double[] { var32};
    org.apache.commons.math.linear.OpenMapRealVector var34 = new org.apache.commons.math.linear.OpenMapRealVector(var33);
    org.apache.commons.math.linear.OpenMapRealVector var35 = var31.add(var34);
    double var36 = var27.dotProduct(var34);
    org.apache.commons.math.linear.RealVector var37 = var12.mapMultiplyToSelf((double)var36);
    java.lang.Double var38 = new java.lang.Double((-1.0d));
    double[] var39 = new double[] { var38};
    org.apache.commons.math.linear.OpenMapRealVector var40 = new org.apache.commons.math.linear.OpenMapRealVector(var39);
    java.lang.Double var41 = new java.lang.Double((-1.0d));
    double[] var42 = new double[] { var41};
    org.apache.commons.math.linear.OpenMapRealVector var43 = new org.apache.commons.math.linear.OpenMapRealVector(var42);
    org.apache.commons.math.linear.OpenMapRealVector var44 = var40.add(var43);
    java.lang.Double var45 = new java.lang.Double((-1.0d));
    double[] var46 = new double[] { var45};
    org.apache.commons.math.linear.OpenMapRealVector var47 = new org.apache.commons.math.linear.OpenMapRealVector(var46);
    java.lang.Double var48 = new java.lang.Double((-1.0d));
    double[] var49 = new double[] { var48};
    org.apache.commons.math.linear.OpenMapRealVector var50 = new org.apache.commons.math.linear.OpenMapRealVector(var49);
    org.apache.commons.math.linear.OpenMapRealVector var51 = var47.add(var50);
    java.lang.Double var52 = new java.lang.Double((-1.0d));
    double[] var53 = new double[] { var52};
    org.apache.commons.math.linear.OpenMapRealVector var54 = new org.apache.commons.math.linear.OpenMapRealVector(var53);
    java.lang.Double var55 = new java.lang.Double((-1.0d));
    double[] var56 = new double[] { var55};
    org.apache.commons.math.linear.OpenMapRealVector var57 = new org.apache.commons.math.linear.OpenMapRealVector(var56);
    org.apache.commons.math.linear.OpenMapRealVector var58 = var54.add(var57);
    double var59 = var50.dotProduct(var57);
    org.apache.commons.math.linear.OpenMapRealVector var60 = var40.subtract(var50);
    double var61 = var40.getMaxValue();
    java.lang.Double var62 = new java.lang.Double(10.0d);
    double[] var63 = new double[] { var62};
    org.apache.commons.math.linear.OpenMapRealVector var64 = new org.apache.commons.math.linear.OpenMapRealVector(var63);
    org.apache.commons.math.linear.OpenMapRealVector var65 = var40.subtract((org.apache.commons.math.linear.RealVector)var64);
    double var66 = var12.getL1Distance((org.apache.commons.math.linear.RealVector)var65);
    java.lang.Double var67 = new java.lang.Double(1.0d);
    java.lang.Double var68 = new java.lang.Double((-1.0d));
    double[] var69 = new double[] { var67, var68};
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.exception.DimensionMismatchException with canonical name: org.apache.commons.math.exception.DimensionMismatchException
    // This behavior will recorded for regression testing.
    try {
      double var70 = var65.getL1Distance(var69);
      fail("Expected exception of type org.apache.commons.math.exception.DimensionMismatchException");
    } catch (org.apache.commons.math.exception.DimensionMismatchException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var46 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var49 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var51 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var53 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var56 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var58 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var60 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var63 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var65 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var69 == null);

  }

  public void test84() throws Throwable {

    java.lang.Integer var0 = new java.lang.Integer(100);
    java.lang.Double var1 = new java.lang.Double((-1.0d));
    java.lang.Double var2 = new java.lang.Double(10.0d);
    java.lang.Double var3 = new java.lang.Double(100.0d);
    int var4 = org.apache.commons.math.util.MathUtils.compareTo((double)var1, (double)var2, (double)var3);
    java.lang.Integer var5 = new java.lang.Integer(0);
    java.lang.Long var6 = new java.lang.Long(100L);
    int var7 = org.apache.commons.math.util.MathUtils.pow((int)var5, (long)var6);
    int var8 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var4, (int)var5);
    int var9 = org.apache.commons.math.util.MathUtils.pow((int)var0, (int)var4);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    java.lang.Double var11 = new java.lang.Double(0.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    double[] var13 = new double[] { var10, var11, var12};
    org.apache.commons.math.linear.ArrayRealVector var14 = new org.apache.commons.math.linear.ArrayRealVector(var13);
    java.lang.Double var15 = new java.lang.Double((-1.0d));
    java.lang.Double var16 = new java.lang.Double(0.0d);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    double[] var18 = new double[] { var15, var16, var17};
    org.apache.commons.math.linear.ArrayRealVector var19 = new org.apache.commons.math.linear.ArrayRealVector(var18);
    org.apache.commons.math.linear.RealVector var20 = var14.ebeDivide((org.apache.commons.math.linear.RealVector)var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(10.0d);
    java.lang.Double var23 = new java.lang.Double(100.0d);
    int var24 = org.apache.commons.math.util.MathUtils.compareTo((double)var21, (double)var22, (double)var23);
    org.apache.commons.math.linear.RealVector var25 = var19.mapPowToSelf((double)var23);
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    java.lang.Double var27 = new java.lang.Double(0.0d);
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    double[] var29 = new double[] { var26, var27, var28};
    org.apache.commons.math.linear.ArrayRealVector var30 = new org.apache.commons.math.linear.ArrayRealVector(var29);
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    java.lang.Double var32 = new java.lang.Double(0.0d);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    double[] var34 = new double[] { var31, var32, var33};
    org.apache.commons.math.linear.ArrayRealVector var35 = new org.apache.commons.math.linear.ArrayRealVector(var34);
    org.apache.commons.math.linear.RealVector var36 = var30.ebeDivide((org.apache.commons.math.linear.RealVector)var35);
    org.apache.commons.math.linear.RealVector var37 = var30.mapRintToSelf();
    java.lang.Double var38 = new java.lang.Double((-1.0d));
    java.lang.Double var39 = new java.lang.Double(0.0d);
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    double[] var41 = new double[] { var38, var39, var40};
    org.apache.commons.math.linear.ArrayRealVector var42 = new org.apache.commons.math.linear.ArrayRealVector(var41);
    org.apache.commons.math.linear.RealVector var43 = var42.mapExpm1();
    org.apache.commons.math.linear.RealVector var44 = var30.projection(var43);
    double var45 = var30.getMinValue();
    boolean var46 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var23, (double)var45);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var47 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var4, var46);
    java.lang.Double var48 = new java.lang.Double((-1.0d));
    double[] var49 = new double[] { var48};
    org.apache.commons.math.linear.OpenMapRealVector var50 = new org.apache.commons.math.linear.OpenMapRealVector(var49);
    java.lang.Double var51 = new java.lang.Double((-1.0d));
    double[] var52 = new double[] { var51};
    org.apache.commons.math.linear.OpenMapRealVector var53 = new org.apache.commons.math.linear.OpenMapRealVector(var52);
    org.apache.commons.math.linear.OpenMapRealVector var54 = var50.add(var53);
    java.lang.Double var55 = new java.lang.Double((-1.0d));
    double[] var56 = new double[] { var55};
    org.apache.commons.math.linear.OpenMapRealVector var57 = new org.apache.commons.math.linear.OpenMapRealVector(var56);
    java.lang.Double var58 = new java.lang.Double((-1.0d));
    double[] var59 = new double[] { var58};
    org.apache.commons.math.linear.OpenMapRealVector var60 = new org.apache.commons.math.linear.OpenMapRealVector(var59);
    org.apache.commons.math.linear.OpenMapRealVector var61 = var57.add(var60);
    org.apache.commons.math.linear.OpenMapRealVector var62 = new org.apache.commons.math.linear.OpenMapRealVector(var61);
    org.apache.commons.math.linear.OpenMapRealVector var63 = var50.add(var61);
    boolean var64 = var47.equals((java.lang.Object)var50);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var43 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var49 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var52 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var54 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var56 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var59 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var61 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var63 == null);

  }

  public void test85() throws Throwable {

    double[] var0 = new double[] { };
    // The following exception was thrown during execution.
    // Exception class: class java.lang.ArrayIndexOutOfBoundsException with canonical name: java.lang.ArrayIndexOutOfBoundsException
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.util.MathUtils.checkOrder(var0);
      fail("Expected exception of type java.lang.ArrayIndexOutOfBoundsException");
    } catch (java.lang.ArrayIndexOutOfBoundsException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);

  }

  public void test86() throws Throwable {

    java.lang.Integer var0 = new java.lang.Integer(100);
    java.lang.Double var1 = new java.lang.Double((-1.0d));
    java.lang.Double var2 = new java.lang.Double(10.0d);
    java.lang.Double var3 = new java.lang.Double(100.0d);
    int var4 = org.apache.commons.math.util.MathUtils.compareTo((double)var1, (double)var2, (double)var3);
    java.lang.Integer var5 = new java.lang.Integer(0);
    java.lang.Long var6 = new java.lang.Long(100L);
    int var7 = org.apache.commons.math.util.MathUtils.pow((int)var5, (long)var6);
    int var8 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var4, (int)var5);
    int var9 = org.apache.commons.math.util.MathUtils.pow((int)var0, (int)var4);
    java.lang.Integer var10 = new java.lang.Integer(0);
    java.lang.Integer var11 = new java.lang.Integer(0);
    int var12 = org.apache.commons.math.util.MathUtils.lcm((int)var10, (int)var11);
    int var13 = org.apache.commons.math.util.MathUtils.gcd((int)var9, (int)var12);

  }

  public void test87() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp[] var9 = var8.getPiSplit();
    org.apache.commons.math.dfp.Dfp var10 = var8.getE();
    org.apache.commons.math.dfp.Dfp var11 = var8.getZero();
    org.apache.commons.math.dfp.Dfp var12 = var8.getTwo();
    org.apache.commons.math.dfp.Dfp[] var13 = var8.getPiSplit();
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    java.lang.Double var15 = new java.lang.Double(10.0d);
    java.lang.Double var16 = new java.lang.Double(100.0d);
    int var17 = org.apache.commons.math.util.MathUtils.compareTo((double)var14, (double)var15, (double)var16);
    java.lang.Integer var18 = new java.lang.Integer(0);
    java.lang.Long var19 = new java.lang.Long(100L);
    int var20 = org.apache.commons.math.util.MathUtils.pow((int)var18, (long)var19);
    int var21 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var17, (int)var18);
    org.apache.commons.math.dfp.DfpField var22 = new org.apache.commons.math.dfp.DfpField(var17);
    org.apache.commons.math.dfp.Dfp var23 = var22.getOne();
    int var24 = var23.log10K();
    org.apache.commons.math.dfp.Dfp var25 = var8.newDfp(var23);
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    double[] var27 = new double[] { var26};
    org.apache.commons.math.linear.OpenMapRealVector var28 = new org.apache.commons.math.linear.OpenMapRealVector(var27);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    double[] var30 = new double[] { var29};
    org.apache.commons.math.linear.OpenMapRealVector var31 = new org.apache.commons.math.linear.OpenMapRealVector(var30);
    org.apache.commons.math.linear.OpenMapRealVector var32 = var28.add(var31);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    double[] var34 = new double[] { var33};
    org.apache.commons.math.linear.OpenMapRealVector var35 = new org.apache.commons.math.linear.OpenMapRealVector(var34);
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    double[] var37 = new double[] { var36};
    org.apache.commons.math.linear.OpenMapRealVector var38 = new org.apache.commons.math.linear.OpenMapRealVector(var37);
    org.apache.commons.math.linear.OpenMapRealVector var39 = var35.add(var38);
    double var40 = var31.dotProduct(var38);
    org.apache.commons.math.linear.RealVector var41 = var38.mapAtanToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var42 = var38.copy();
    int var43 = var42.getDimension();
    org.apache.commons.math.dfp.Dfp var44 = var23.power10((int)var43);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);

  }

  public void test88() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(1.0d);
    java.lang.Double var2 = new java.lang.Double(10.0d);
    double[] var3 = new double[] { var0, var1, var2};
    java.lang.Integer var4 = new java.lang.Integer(1);
    java.lang.Double var5 = new java.lang.Double(1.0d);
    double[] var6 = new double[] { var5};
    java.lang.Double var7 = new java.lang.Double(1.0d);
    double[] var8 = new double[] { var7};
    boolean var9 = org.apache.commons.math.util.MathUtils.equals(var6, var8);
    org.apache.commons.math.util.MathUtils.checkOrder(var3, (int)var4, (boolean)var9);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);

  }

  public void test89() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    java.lang.Integer var10 = new java.lang.Integer(10);
    java.lang.Integer var11 = new java.lang.Integer(10);
    double var12 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var10, (int)var11);
    java.lang.Integer var13 = new java.lang.Integer(0);
    java.lang.Long var14 = new java.lang.Long(100L);
    int var15 = org.apache.commons.math.util.MathUtils.pow((int)var13, (long)var14);
    double var16 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var11, (int)var13);
    org.apache.commons.math.dfp.Dfp var17 = var8.newDfp((int)var13);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    java.lang.Double var19 = new java.lang.Double(10.0d);
    java.lang.Double var20 = new java.lang.Double(100.0d);
    int var21 = org.apache.commons.math.util.MathUtils.compareTo((double)var18, (double)var19, (double)var20);
    java.lang.Integer var22 = new java.lang.Integer(0);
    java.lang.Long var23 = new java.lang.Long(100L);
    int var24 = org.apache.commons.math.util.MathUtils.pow((int)var22, (long)var23);
    int var25 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var21, (int)var22);
    org.apache.commons.math.dfp.DfpField var26 = new org.apache.commons.math.dfp.DfpField(var21);
    org.apache.commons.math.dfp.Dfp var27 = var26.getOne();
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    java.lang.Double var29 = new java.lang.Double(10.0d);
    java.lang.Double var30 = new java.lang.Double(100.0d);
    int var31 = org.apache.commons.math.util.MathUtils.compareTo((double)var28, (double)var29, (double)var30);
    java.lang.Integer var32 = new java.lang.Integer(0);
    java.lang.Long var33 = new java.lang.Long(100L);
    int var34 = org.apache.commons.math.util.MathUtils.pow((int)var32, (long)var33);
    int var35 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var31, (int)var32);
    org.apache.commons.math.dfp.DfpField var36 = new org.apache.commons.math.dfp.DfpField(var31);
    org.apache.commons.math.dfp.Dfp var37 = var36.getOne();
    java.lang.Double var38 = new java.lang.Double((-1.0d));
    java.lang.Double var39 = new java.lang.Double(10.0d);
    java.lang.Double var40 = new java.lang.Double(100.0d);
    int var41 = org.apache.commons.math.util.MathUtils.compareTo((double)var38, (double)var39, (double)var40);
    java.lang.Integer var42 = new java.lang.Integer(0);
    java.lang.Long var43 = new java.lang.Long(100L);
    int var44 = org.apache.commons.math.util.MathUtils.pow((int)var42, (long)var43);
    int var45 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var41, (int)var42);
    org.apache.commons.math.dfp.DfpField var46 = new org.apache.commons.math.dfp.DfpField(var41);
    org.apache.commons.math.dfp.Dfp var47 = var46.getOne();
    org.apache.commons.math.dfp.Dfp var48 = var36.newDfp(var47);
    java.lang.Double var49 = new java.lang.Double((-1.0d));
    java.lang.Double var50 = new java.lang.Double(10.0d);
    java.lang.Double var51 = new java.lang.Double(100.0d);
    int var52 = org.apache.commons.math.util.MathUtils.compareTo((double)var49, (double)var50, (double)var51);
    java.lang.Integer var53 = new java.lang.Integer(0);
    java.lang.Long var54 = new java.lang.Long(100L);
    int var55 = org.apache.commons.math.util.MathUtils.pow((int)var53, (long)var54);
    int var56 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var52, (int)var53);
    org.apache.commons.math.dfp.DfpField var57 = new org.apache.commons.math.dfp.DfpField(var52);
    org.apache.commons.math.dfp.Dfp var58 = var57.getOne();
    boolean var59 = var47.greaterThan(var58);
    org.apache.commons.math.dfp.Dfp var60 = var27.remainder(var58);
    org.apache.commons.math.dfp.Dfp var61 = new org.apache.commons.math.dfp.Dfp(var60);
    boolean var62 = var17.unequal(var61);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var47 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var48 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var58 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var60 == null);

  }

  public void test90() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp[] var9 = var8.getPiSplit();
    org.apache.commons.math.dfp.Dfp var10 = var8.getE();
    org.apache.commons.math.dfp.Dfp var11 = var8.getZero();
    org.apache.commons.math.dfp.Dfp var12 = var8.getTwo();
    org.apache.commons.math.dfp.Dfp var13 = var8.getSqr3Reciprocal();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);

  }

  public void test91() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var9.mapAsinToSelf();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(0.0d);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var12, var13, var14};
    org.apache.commons.math.linear.ArrayRealVector var16 = new org.apache.commons.math.linear.ArrayRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    org.apache.commons.math.linear.RealVector var22 = var16.ebeDivide((org.apache.commons.math.linear.RealVector)var21);
    org.apache.commons.math.linear.RealVector var23 = var16.mapRintToSelf();
    org.apache.commons.math.linear.ArrayRealVector var24 = var9.ebeDivide(var16);
    org.apache.commons.math.linear.RealVector var25 = var9.mapLog1pToSelf();
    org.apache.commons.math.linear.RealVector var26 = var9.mapCbrtToSelf();
    java.lang.Double var27 = new java.lang.Double((-1.0d));
    java.lang.Double var28 = new java.lang.Double(0.0d);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    double[] var30 = new double[] { var27, var28, var29};
    org.apache.commons.math.linear.ArrayRealVector var31 = new org.apache.commons.math.linear.ArrayRealVector(var30);
    java.lang.Double var32 = new java.lang.Double((-1.0d));
    java.lang.Double var33 = new java.lang.Double(0.0d);
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    double[] var35 = new double[] { var32, var33, var34};
    org.apache.commons.math.linear.ArrayRealVector var36 = new org.apache.commons.math.linear.ArrayRealVector(var35);
    org.apache.commons.math.linear.RealVector var37 = var31.ebeDivide((org.apache.commons.math.linear.RealVector)var36);
    org.apache.commons.math.linear.RealVector var38 = var31.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var39 = var31.mapInvToSelf();
    double[] var40 = new double[] { };
    org.apache.commons.math.linear.ArrayRealVector var41 = new org.apache.commons.math.linear.ArrayRealVector(var31, var40);
    org.apache.commons.math.linear.RealVector var42 = var31.mapCbrt();
    org.apache.commons.math.linear.RealVector var43 = var9.append((org.apache.commons.math.linear.RealVector)var31);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var43 == null);

  }

  public void test92() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var7};
    org.apache.commons.math.linear.OpenMapRealVector var9 = new org.apache.commons.math.linear.OpenMapRealVector(var8);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var10};
    org.apache.commons.math.linear.OpenMapRealVector var12 = new org.apache.commons.math.linear.OpenMapRealVector(var11);
    org.apache.commons.math.linear.OpenMapRealVector var13 = var9.add(var12);
    double var14 = var5.dotProduct(var12);
    java.lang.Double var15 = new java.lang.Double((-1.0d));
    double[] var16 = new double[] { var15};
    org.apache.commons.math.linear.OpenMapRealVector var17 = new org.apache.commons.math.linear.OpenMapRealVector(var16);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    double[] var19 = new double[] { var18};
    org.apache.commons.math.linear.OpenMapRealVector var20 = new org.apache.commons.math.linear.OpenMapRealVector(var19);
    org.apache.commons.math.linear.OpenMapRealVector var21 = var17.add(var20);
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    double[] var23 = new double[] { var22};
    org.apache.commons.math.linear.OpenMapRealVector var24 = new org.apache.commons.math.linear.OpenMapRealVector(var23);
    java.lang.Double var25 = new java.lang.Double((-1.0d));
    double[] var26 = new double[] { var25};
    org.apache.commons.math.linear.OpenMapRealVector var27 = new org.apache.commons.math.linear.OpenMapRealVector(var26);
    org.apache.commons.math.linear.OpenMapRealVector var28 = var24.add(var27);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    double[] var30 = new double[] { var29};
    org.apache.commons.math.linear.OpenMapRealVector var31 = new org.apache.commons.math.linear.OpenMapRealVector(var30);
    java.lang.Double var32 = new java.lang.Double((-1.0d));
    double[] var33 = new double[] { var32};
    org.apache.commons.math.linear.OpenMapRealVector var34 = new org.apache.commons.math.linear.OpenMapRealVector(var33);
    org.apache.commons.math.linear.OpenMapRealVector var35 = var31.add(var34);
    double var36 = var27.dotProduct(var34);
    org.apache.commons.math.linear.RealVector var37 = var34.mapAtanToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var38 = var34.copy();
    org.apache.commons.math.linear.OpenMapRealVector var39 = var21.subtract((org.apache.commons.math.linear.RealVector)var34);
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    double[] var41 = new double[] { var40};
    org.apache.commons.math.linear.OpenMapRealVector var42 = new org.apache.commons.math.linear.OpenMapRealVector(var41);
    java.lang.Double var43 = new java.lang.Double((-1.0d));
    double[] var44 = new double[] { var43};
    org.apache.commons.math.linear.OpenMapRealVector var45 = new org.apache.commons.math.linear.OpenMapRealVector(var44);
    org.apache.commons.math.linear.OpenMapRealVector var46 = var42.add(var45);
    org.apache.commons.math.linear.OpenMapRealVector var47 = new org.apache.commons.math.linear.OpenMapRealVector(var46);
    double var48 = var21.getDistance(var47);
    java.lang.Double var49 = new java.lang.Double(100.0d);
    java.lang.Double var50 = new java.lang.Double(0.0d);
    double[] var51 = new double[] { var49, var50};
    int var52 = org.apache.commons.math.util.MathUtils.hash(var51);
    boolean var53 = var47.equals((java.lang.Object)var52);
    double var54 = var5.getL1Distance(var47);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var46 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var51 == null);

  }

  public void test93() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp[] var9 = var8.getPiSplit();
    org.apache.commons.math.dfp.Dfp var10 = var8.newDfp();
    org.apache.commons.math.dfp.Dfp[] var11 = var8.getLn5Split();
    org.apache.commons.math.dfp.Dfp var12 = var8.getLn2();
    org.apache.commons.math.dfp.Dfp var13 = var8.getSqr2Reciprocal();
    int var14 = var8.getRadixDigits();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);

  }

  public void test94() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(100.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    double[] var14 = new double[] { var11, var12, var13};
    double var15 = var9.getL1Distance(var14);
    org.apache.commons.math.linear.RealVector var16 = var9.mapSignum();
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    java.lang.Double var23 = new java.lang.Double(0.0d);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    double[] var25 = new double[] { var22, var23, var24};
    org.apache.commons.math.linear.ArrayRealVector var26 = new org.apache.commons.math.linear.ArrayRealVector(var25);
    org.apache.commons.math.linear.RealVector var27 = var21.ebeDivide((org.apache.commons.math.linear.RealVector)var26);
    org.apache.commons.math.linear.ArrayRealVector var28 = var9.add(var21);
    org.apache.commons.math.linear.RealVector var29 = var9.mapInvToSelf();
    java.lang.Double var30 = new java.lang.Double((-1.0d));
    double[] var31 = new double[] { var30};
    org.apache.commons.math.linear.OpenMapRealVector var32 = new org.apache.commons.math.linear.OpenMapRealVector(var31);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    double[] var34 = new double[] { var33};
    org.apache.commons.math.linear.OpenMapRealVector var35 = new org.apache.commons.math.linear.OpenMapRealVector(var34);
    org.apache.commons.math.linear.OpenMapRealVector var36 = var32.add(var35);
    org.apache.commons.math.linear.OpenMapRealVector var37 = new org.apache.commons.math.linear.OpenMapRealVector(var36);
    boolean var38 = var37.isNaN();
    java.lang.Double var39 = new java.lang.Double((-1.0d));
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    double[] var41 = new double[] { var39, var40};
    java.lang.Double var42 = new java.lang.Double((-1.0d));
    java.lang.Double var43 = new java.lang.Double(10.0d);
    java.lang.Double var44 = new java.lang.Double(100.0d);
    int var45 = org.apache.commons.math.util.MathUtils.compareTo((double)var42, (double)var43, (double)var44);
    org.apache.commons.math.optimization.linear.LinearObjectiveFunction var46 = new org.apache.commons.math.optimization.linear.LinearObjectiveFunction(var41, var43);
    org.apache.commons.math.linear.RealVector var47 = var37.mapDivideToSelf((double)var43);
    java.lang.Double var48 = new java.lang.Double((-1.0d));
    double[] var49 = new double[] { var48};
    org.apache.commons.math.linear.OpenMapRealVector var50 = new org.apache.commons.math.linear.OpenMapRealVector(var49);
    java.lang.Double var51 = new java.lang.Double((-1.0d));
    double[] var52 = new double[] { var51};
    org.apache.commons.math.linear.OpenMapRealVector var53 = new org.apache.commons.math.linear.OpenMapRealVector(var52);
    org.apache.commons.math.linear.OpenMapRealVector var54 = var50.add(var53);
    java.lang.Double var55 = new java.lang.Double((-1.0d));
    double[] var56 = new double[] { var55};
    org.apache.commons.math.linear.OpenMapRealVector var57 = new org.apache.commons.math.linear.OpenMapRealVector(var56);
    java.lang.Double var58 = new java.lang.Double((-1.0d));
    double[] var59 = new double[] { var58};
    org.apache.commons.math.linear.OpenMapRealVector var60 = new org.apache.commons.math.linear.OpenMapRealVector(var59);
    org.apache.commons.math.linear.OpenMapRealVector var61 = var57.add(var60);
    double var62 = var53.dotProduct(var60);
    org.apache.commons.math.linear.RealVector var63 = var60.mapAtanToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var64 = var60.copy();
    java.lang.Double var65 = new java.lang.Double(0.0d);
    java.lang.Double var66 = new java.lang.Double((-1.0d));
    java.lang.Double var67 = new java.lang.Double((-1.0d));
    int var68 = org.apache.commons.math.util.MathUtils.compareTo((double)var65, (double)var66, (double)var67);
    org.apache.commons.math.linear.RealVector var69 = var60.mapMultiply((double)var66);
    org.apache.commons.math.complex.Complex var70 = new org.apache.commons.math.complex.Complex(var43, var66);
    org.apache.commons.math.linear.RealVector var71 = var9.mapDivide((double)var66);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var47 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var49 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var52 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var54 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var56 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var59 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var61 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var63 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var64 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var69 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var71 == null);

  }

  public void test95() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    int var11 = var4.getMaxIndex();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    boolean var18 = org.apache.commons.math.util.MathUtils.equals((double)var16, (double)var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    boolean var23 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var14, (double)var17, (double)var21);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var24 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var11, var23);
    double[] var25 = var24.getStandardDeviation();
    int var26 = var24.getDimension();
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var27 = var24.getMaxImpl();
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var28 = var24.getMinImpl();
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var29 = var24.getSumImpl();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);

  }

  public void test96() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var7};
    org.apache.commons.math.linear.OpenMapRealVector var9 = new org.apache.commons.math.linear.OpenMapRealVector(var8);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var10};
    org.apache.commons.math.linear.OpenMapRealVector var12 = new org.apache.commons.math.linear.OpenMapRealVector(var11);
    org.apache.commons.math.linear.OpenMapRealVector var13 = var9.add(var12);
    org.apache.commons.math.linear.OpenMapRealVector var14 = new org.apache.commons.math.linear.OpenMapRealVector(var13);
    boolean var15 = var14.isNaN();
    org.apache.commons.math.linear.RealVector var16 = var5.projection((org.apache.commons.math.linear.RealVector)var14);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(100.0d);
    double[] var19 = new double[] { var17, var18};
    org.apache.commons.math.linear.OpenMapRealVector var20 = var14.append(var19);
    double[] var21 = var14.toArray();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);

  }

  public void test97() throws Throwable {

    java.lang.Double var0 = new java.lang.Double(1.0d);
    java.lang.Double var1 = new java.lang.Double((-1.0d));
    double[] var2 = new double[] { var0, var1};
    java.lang.Double var3 = new java.lang.Double(10.0d);
    java.lang.Double var4 = new java.lang.Double(10.0d);
    double[] var5 = new double[] { var3, var4};
    double var6 = org.apache.commons.math.util.MathUtils.distance(var2, var5);
    java.lang.Double var7 = new java.lang.Double(100.0d);
    java.lang.Double var8 = new java.lang.Double(10.0d);
    double[] var9 = new double[] { var7, var8};
    double var10 = org.apache.commons.math.util.MathUtils.safeNorm(var9);
    double var11 = org.apache.commons.math.util.MathUtils.nextAfter((double)var6, (double)var10);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var5 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);

  }

  public void test98() throws Throwable {

    org.apache.commons.math.complex.ComplexField var0 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var1 = var0.getZero();
    double var2 = var1.getArgument();
    boolean var3 = var1.isInfinite();
    org.apache.commons.math.complex.ComplexField var4 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var5 = var4.getZero();
    org.apache.commons.math.complex.Complex var6 = var5.sinh();
    org.apache.commons.math.complex.ComplexField var7 = var5.getField();
    org.apache.commons.math.complex.ComplexField var8 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var9 = var8.getZero();
    org.apache.commons.math.complex.Complex var10 = var9.sinh();
    org.apache.commons.math.complex.Complex var11 = var5.add(var10);
    org.apache.commons.math.complex.Complex var12 = var1.add(var10);
    java.lang.Double var13 = new java.lang.Double(1.0d);
    double var14 = org.apache.commons.math.util.MathUtils.sign((double)var13);
    org.apache.commons.math.complex.Complex var15 = var10.multiply((double)var14);
    double var16 = var15.getArgument();
    org.apache.commons.math.complex.Complex var17 = var15.sinh();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var5 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var7 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);

  }

  public void test99() throws Throwable {

    org.apache.commons.math.complex.ComplexField var0 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var1 = var0.getZero();
    double var2 = var1.getArgument();
    org.apache.commons.math.complex.Complex var3 = var1.exp();
    org.apache.commons.math.complex.Complex var4 = var3.sinh();
    boolean var5 = var3.isNaN();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var6 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var7 = var6.copy();
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    java.lang.Double var9 = new java.lang.Double(0.0d);
    double[] var10 = new double[] { var8, var9};
    var6.incrementAll(var10);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(0.0d);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var12, var13, var14};
    org.apache.commons.math.linear.ArrayRealVector var16 = new org.apache.commons.math.linear.ArrayRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    org.apache.commons.math.linear.RealVector var22 = var16.ebeDivide((org.apache.commons.math.linear.RealVector)var21);
    org.apache.commons.math.linear.RealVector var23 = var16.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var24 = var16.mapInvToSelf();
    org.apache.commons.math.linear.RealVector var25 = var16.mapCeilToSelf();
    double var26 = var16.getL1Norm();
    boolean var27 = var6.equals((java.lang.Object)var26);
    org.apache.commons.math.complex.Complex var28 = var3.multiply((double)var26);
    double var29 = var28.getArgument();
    boolean var30 = var28.isNaN();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var7 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);

  }

  public void test100() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var7};
    org.apache.commons.math.linear.OpenMapRealVector var9 = new org.apache.commons.math.linear.OpenMapRealVector(var8);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var10};
    org.apache.commons.math.linear.OpenMapRealVector var12 = new org.apache.commons.math.linear.OpenMapRealVector(var11);
    org.apache.commons.math.linear.OpenMapRealVector var13 = var9.add(var12);
    double var14 = var5.dotProduct(var12);
    java.lang.Double var15 = new java.lang.Double(1.0d);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    boolean var17 = org.apache.commons.math.util.MathUtils.equals((double)var15, (double)var16);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    java.lang.Double var19 = new java.lang.Double(10.0d);
    java.lang.Double var20 = new java.lang.Double(100.0d);
    int var21 = org.apache.commons.math.util.MathUtils.compareTo((double)var18, (double)var19, (double)var20);
    double var22 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var15, (double)var18);
    var12.set((double)var18);
    java.lang.Double[] var24 = new java.lang.Double[] { var18};
    org.apache.commons.math.linear.OpenMapRealVector var25 = new org.apache.commons.math.linear.OpenMapRealVector(var24);
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    double[] var27 = new double[] { var26};
    org.apache.commons.math.linear.OpenMapRealVector var28 = new org.apache.commons.math.linear.OpenMapRealVector(var27);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    double[] var30 = new double[] { var29};
    org.apache.commons.math.linear.OpenMapRealVector var31 = new org.apache.commons.math.linear.OpenMapRealVector(var30);
    org.apache.commons.math.linear.OpenMapRealVector var32 = var28.add(var31);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    double[] var34 = new double[] { var33};
    org.apache.commons.math.linear.OpenMapRealVector var35 = new org.apache.commons.math.linear.OpenMapRealVector(var34);
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    double[] var37 = new double[] { var36};
    org.apache.commons.math.linear.OpenMapRealVector var38 = new org.apache.commons.math.linear.OpenMapRealVector(var37);
    org.apache.commons.math.linear.OpenMapRealVector var39 = var35.add(var38);
    double var40 = var31.dotProduct(var38);
    org.apache.commons.math.linear.RealVector var41 = var38.mapAtanToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var42 = var38.copy();
    java.lang.Double var43 = new java.lang.Double(0.0d);
    java.lang.Double var44 = new java.lang.Double((-1.0d));
    java.lang.Double var45 = new java.lang.Double((-1.0d));
    int var46 = org.apache.commons.math.util.MathUtils.compareTo((double)var43, (double)var44, (double)var45);
    org.apache.commons.math.linear.RealVector var47 = var38.mapMultiply((double)var44);
    org.apache.commons.math.linear.RealVector var48 = var38.mapFloor();
    org.apache.commons.math.linear.OpenMapRealVector var49 = var25.append(var38);
    java.lang.Double var50 = new java.lang.Double((-1.0d));
    java.lang.Double var51 = new java.lang.Double(0.0d);
    java.lang.Double var52 = new java.lang.Double((-1.0d));
    double[] var53 = new double[] { var50, var51, var52};
    org.apache.commons.math.linear.ArrayRealVector var54 = new org.apache.commons.math.linear.ArrayRealVector(var53);
    java.lang.Double var55 = new java.lang.Double((-1.0d));
    java.lang.Double var56 = new java.lang.Double(0.0d);
    java.lang.Double var57 = new java.lang.Double((-1.0d));
    double[] var58 = new double[] { var55, var56, var57};
    org.apache.commons.math.linear.ArrayRealVector var59 = new org.apache.commons.math.linear.ArrayRealVector(var58);
    org.apache.commons.math.linear.RealVector var60 = var54.ebeDivide((org.apache.commons.math.linear.RealVector)var59);
    double var61 = var59.getNorm();
    java.lang.Double var62 = new java.lang.Double((-1.0d));
    java.lang.Double var63 = new java.lang.Double(10.0d);
    java.lang.Double var64 = new java.lang.Double(100.0d);
    int var65 = org.apache.commons.math.util.MathUtils.compareTo((double)var62, (double)var63, (double)var64);
    java.lang.Double var66 = new java.lang.Double(1.0d);
    java.lang.Double var67 = new java.lang.Double(1.0d);
    boolean var68 = org.apache.commons.math.util.MathUtils.equals((double)var66, (double)var67);
    java.lang.Double var69 = new java.lang.Double((-1.0d));
    java.lang.Double var70 = new java.lang.Double(10.0d);
    java.lang.Double var71 = new java.lang.Double(100.0d);
    int var72 = org.apache.commons.math.util.MathUtils.compareTo((double)var69, (double)var70, (double)var71);
    boolean var73 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var64, (double)var67, (double)var71);
    org.apache.commons.math.linear.RealVector var74 = var59.mapDivideToSelf((double)var64);
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.exception.DimensionMismatchException with canonical name: org.apache.commons.math.exception.DimensionMismatchException
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.OpenMapRealVector var75 = var49.ebeDivide(var74);
      fail("Expected exception of type org.apache.commons.math.exception.DimensionMismatchException");
    } catch (org.apache.commons.math.exception.DimensionMismatchException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var47 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var48 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var49 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var53 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var58 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var60 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var74 == null);

  }

  public void test101() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    int var11 = var4.getMaxIndex();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    boolean var18 = org.apache.commons.math.util.MathUtils.equals((double)var16, (double)var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    boolean var23 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var14, (double)var17, (double)var21);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var24 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var11, var23);
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic var25 = null;
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var26 = new org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] { var25};
    var24.setSumsqImpl(var26);
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    java.lang.Double var29 = new java.lang.Double(0.0d);
    java.lang.Double var30 = new java.lang.Double((-1.0d));
    double[] var31 = new double[] { var28, var29, var30};
    org.apache.commons.math.linear.ArrayRealVector var32 = new org.apache.commons.math.linear.ArrayRealVector(var31);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double(0.0d);
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    double[] var36 = new double[] { var33, var34, var35};
    org.apache.commons.math.linear.ArrayRealVector var37 = new org.apache.commons.math.linear.ArrayRealVector(var36);
    org.apache.commons.math.linear.RealVector var38 = var32.ebeDivide((org.apache.commons.math.linear.RealVector)var37);
    int var39 = var32.getMaxIndex();
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    java.lang.Double var41 = new java.lang.Double(10.0d);
    java.lang.Double var42 = new java.lang.Double(100.0d);
    int var43 = org.apache.commons.math.util.MathUtils.compareTo((double)var40, (double)var41, (double)var42);
    java.lang.Double var44 = new java.lang.Double(1.0d);
    java.lang.Double var45 = new java.lang.Double(1.0d);
    boolean var46 = org.apache.commons.math.util.MathUtils.equals((double)var44, (double)var45);
    java.lang.Double var47 = new java.lang.Double((-1.0d));
    java.lang.Double var48 = new java.lang.Double(10.0d);
    java.lang.Double var49 = new java.lang.Double(100.0d);
    int var50 = org.apache.commons.math.util.MathUtils.compareTo((double)var47, (double)var48, (double)var49);
    boolean var51 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var42, (double)var45, (double)var49);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var52 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var39, var51);
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var53 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation(var51);
    java.lang.Double var54 = new java.lang.Double((-1.0d));
    double[] var55 = new double[] { var54};
    var53.incrementAll(var55);
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var57 = new org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] { var53};
    var24.setGeoMeanImpl(var57);
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var59 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var60 = var59.copy();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var61 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation(var59);
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var62 = new org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] { var61};
    var24.setSumsqImpl(var62);
    org.apache.commons.math.linear.RealMatrix var64 = var24.getCovariance();
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var65 = var24.getSumImpl();
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var66 = var24.getSumLogImpl();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var55 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var57 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var60 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var62 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var64 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var65 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var66 == null);

  }

  public void test102() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(100.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    double[] var14 = new double[] { var11, var12, var13};
    double var15 = var9.getL1Distance(var14);
    org.apache.commons.math.linear.RealVector var16 = var9.mapSignum();
    java.lang.Double var17 = new java.lang.Double(0.0d);
    java.lang.Double var18 = new java.lang.Double(100.0d);
    java.lang.Double var19 = new java.lang.Double(10.0d);
    double[] var20 = new double[] { var17, var18, var19};
    double var21 = var9.getDistance(var20);
    org.apache.commons.math.linear.RealVector var22 = var9.mapExpm1();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);

  }

  public void test103() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp[] var9 = var8.getPiSplit();
    org.apache.commons.math.dfp.Dfp var10 = var8.getSqr2();
    var8.clearIEEEFlags();
    int var12 = var8.getRadixDigits();
    org.apache.commons.math.dfp.Dfp var13 = var8.getSqr3Reciprocal();
    org.apache.commons.math.dfp.Dfp var14 = var8.newDfp();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);

  }

  public void test104() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var7};
    org.apache.commons.math.linear.OpenMapRealVector var9 = new org.apache.commons.math.linear.OpenMapRealVector(var8);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var10};
    org.apache.commons.math.linear.OpenMapRealVector var12 = new org.apache.commons.math.linear.OpenMapRealVector(var11);
    org.apache.commons.math.linear.OpenMapRealVector var13 = var9.add(var12);
    double var14 = var5.dotProduct(var12);
    org.apache.commons.math.linear.RealVector var15 = var12.mapAtanToSelf();
    org.apache.commons.math.linear.RealVector var16 = var12.mapUlpToSelf();
    java.lang.Double var17 = new java.lang.Double(0.0d);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    int var20 = org.apache.commons.math.util.MathUtils.compareTo((double)var17, (double)var18, (double)var19);
    org.apache.commons.math.linear.OpenMapRealVector var21 = var12.append((double)var18);
    double[] var22 = new double[] { };
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    java.lang.Double var24 = new java.lang.Double(10.0d);
    java.lang.Double var25 = new java.lang.Double(1.0d);
    java.lang.Double var26 = new java.lang.Double(1.0d);
    boolean var27 = org.apache.commons.math.util.MathUtils.equals((double)var25, (double)var26);
    int var28 = org.apache.commons.math.util.MathUtils.compareTo((double)var23, (double)var24, (double)var25);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double(0.0d);
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    double[] var32 = new double[] { var29, var30, var31};
    org.apache.commons.math.linear.ArrayRealVector var33 = new org.apache.commons.math.linear.ArrayRealVector(var32);
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    java.lang.Double var35 = new java.lang.Double(0.0d);
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    double[] var37 = new double[] { var34, var35, var36};
    org.apache.commons.math.linear.ArrayRealVector var38 = new org.apache.commons.math.linear.ArrayRealVector(var37);
    org.apache.commons.math.linear.RealVector var39 = var33.ebeDivide((org.apache.commons.math.linear.RealVector)var38);
    org.apache.commons.math.linear.RealVector var40 = var33.mapLog10ToSelf();
    java.lang.Double var41 = new java.lang.Double(1.0d);
    org.apache.commons.math.linear.RealVector var42 = var33.mapMultiplyToSelf((double)var41);
    double var43 = org.apache.commons.math.util.MathUtils.indicator((double)var41);
    java.lang.Double var44 = new java.lang.Double((-1.0d));
    java.lang.Double var45 = new java.lang.Double(10.0d);
    java.lang.Double var46 = new java.lang.Double(100.0d);
    int var47 = org.apache.commons.math.util.MathUtils.compareTo((double)var44, (double)var45, (double)var46);
    double var48 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var41, (double)var45);
    java.lang.Integer var49 = new java.lang.Integer(10);
    java.lang.Integer var50 = new java.lang.Integer(10);
    double var51 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var49, (int)var50);
    java.lang.Integer var52 = new java.lang.Integer(0);
    java.lang.Long var53 = new java.lang.Long(100L);
    int var54 = org.apache.commons.math.util.MathUtils.pow((int)var52, (long)var53);
    double var55 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var50, (int)var52);
    boolean var56 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var25, (double)var45, (int)var52);
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var57 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation(var56);
    double var58 = var57.getResult();
    double var59 = var57.getResult();
    org.apache.commons.math.optimization.linear.LinearObjectiveFunction var60 = new org.apache.commons.math.optimization.linear.LinearObjectiveFunction(var22, var59);
    org.apache.commons.math.linear.RealVector var61 = var12.mapAdd((double)var59);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var61 == null);

  }

  public void test105() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    int var11 = var4.getMaxIndex();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    boolean var18 = org.apache.commons.math.util.MathUtils.equals((double)var16, (double)var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    boolean var23 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var14, (double)var17, (double)var21);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var24 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var11, var23);
    java.lang.String var25 = var24.toString();
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var26 = var24.getMinImpl();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var27 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var28 = var27.copy();
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var29 = new org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] { var27};
    var24.setSumsqImpl(var29);
    double[] var31 = var24.getMin();
    double[] var32 = var24.getStandardDeviation();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var33 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var34 = var33.copy();
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var35 = new org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] { var34};
    var24.setSumImpl(var35);
    double[] var37 = var24.getSumLog();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);

  }

  public void test106() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    org.apache.commons.math.dfp.Dfp var10 = var8.getOne();
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    java.lang.Integer var15 = new java.lang.Integer(0);
    java.lang.Long var16 = new java.lang.Long(100L);
    int var17 = org.apache.commons.math.util.MathUtils.pow((int)var15, (long)var16);
    int var18 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var14, (int)var15);
    org.apache.commons.math.dfp.DfpField var19 = new org.apache.commons.math.dfp.DfpField(var14);
    org.apache.commons.math.dfp.Dfp var20 = var19.getOne();
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(10.0d);
    java.lang.Double var23 = new java.lang.Double(100.0d);
    int var24 = org.apache.commons.math.util.MathUtils.compareTo((double)var21, (double)var22, (double)var23);
    java.lang.Integer var25 = new java.lang.Integer(0);
    java.lang.Long var26 = new java.lang.Long(100L);
    int var27 = org.apache.commons.math.util.MathUtils.pow((int)var25, (long)var26);
    int var28 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var24, (int)var25);
    org.apache.commons.math.dfp.DfpField var29 = new org.apache.commons.math.dfp.DfpField(var24);
    org.apache.commons.math.dfp.Dfp var30 = var29.getOne();
    org.apache.commons.math.dfp.Dfp var31 = var19.newDfp(var30);
    java.lang.Double var32 = new java.lang.Double((-1.0d));
    java.lang.Double var33 = new java.lang.Double(10.0d);
    java.lang.Double var34 = new java.lang.Double(100.0d);
    int var35 = org.apache.commons.math.util.MathUtils.compareTo((double)var32, (double)var33, (double)var34);
    java.lang.Integer var36 = new java.lang.Integer(0);
    java.lang.Long var37 = new java.lang.Long(100L);
    int var38 = org.apache.commons.math.util.MathUtils.pow((int)var36, (long)var37);
    int var39 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var35, (int)var36);
    org.apache.commons.math.dfp.DfpField var40 = new org.apache.commons.math.dfp.DfpField(var35);
    org.apache.commons.math.dfp.Dfp var41 = var40.getOne();
    boolean var42 = var30.greaterThan(var41);
    java.lang.Integer var43 = new java.lang.Integer(100);
    java.lang.Double var44 = new java.lang.Double((-1.0d));
    java.lang.Double var45 = new java.lang.Double(10.0d);
    java.lang.Double var46 = new java.lang.Double(100.0d);
    int var47 = org.apache.commons.math.util.MathUtils.compareTo((double)var44, (double)var45, (double)var46);
    int var48 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var43, (int)var47);
    org.apache.commons.math.dfp.Dfp var49 = org.apache.commons.math.dfp.DfpMath.pow(var41, (int)var48);
    org.apache.commons.math.dfp.Dfp var50 = org.apache.commons.math.dfp.DfpMath.pow(var10, var41);
    java.lang.Double var51 = new java.lang.Double((-1.0d));
    java.lang.Double var52 = new java.lang.Double(10.0d);
    java.lang.Double var53 = new java.lang.Double(100.0d);
    int var54 = org.apache.commons.math.util.MathUtils.compareTo((double)var51, (double)var52, (double)var53);
    java.lang.Integer var55 = new java.lang.Integer(0);
    java.lang.Long var56 = new java.lang.Long(100L);
    int var57 = org.apache.commons.math.util.MathUtils.pow((int)var55, (long)var56);
    int var58 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var54, (int)var55);
    org.apache.commons.math.dfp.DfpField var59 = new org.apache.commons.math.dfp.DfpField(var54);
    org.apache.commons.math.dfp.Dfp var60 = var59.getOne();
    int var61 = var59.getRadixDigits();
    java.lang.Double var62 = new java.lang.Double((-1.0d));
    java.lang.Double var63 = new java.lang.Double(10.0d);
    java.lang.Double var64 = new java.lang.Double(100.0d);
    int var65 = org.apache.commons.math.util.MathUtils.compareTo((double)var62, (double)var63, (double)var64);
    java.lang.Integer var66 = new java.lang.Integer(0);
    java.lang.Long var67 = new java.lang.Long(100L);
    int var68 = org.apache.commons.math.util.MathUtils.pow((int)var66, (long)var67);
    int var69 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var65, (int)var66);
    org.apache.commons.math.dfp.DfpField var70 = new org.apache.commons.math.dfp.DfpField(var65);
    org.apache.commons.math.dfp.Dfp var71 = var70.getOne();
    org.apache.commons.math.dfp.DfpField.RoundingMode var72 = var70.getRoundingMode();
    var59.setRoundingMode(var72);
    int var74 = var59.getIEEEFlags();
    org.apache.commons.math.dfp.Dfp var75 = var50.multiply((int)var74);
    double var76 = var75.toDouble();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var49 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var50 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var60 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var71 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var72 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var75 == null);

  }

  public void test107() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    java.lang.Double var11 = new java.lang.Double(10.0d);
    java.lang.Double var12 = new java.lang.Double(100.0d);
    int var13 = org.apache.commons.math.util.MathUtils.compareTo((double)var10, (double)var11, (double)var12);
    java.lang.Integer var14 = new java.lang.Integer(0);
    java.lang.Long var15 = new java.lang.Long(100L);
    int var16 = org.apache.commons.math.util.MathUtils.pow((int)var14, (long)var15);
    int var17 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var13, (int)var14);
    org.apache.commons.math.dfp.DfpField var18 = new org.apache.commons.math.dfp.DfpField(var13);
    org.apache.commons.math.dfp.Dfp var19 = var18.getOne();
    org.apache.commons.math.dfp.Dfp var20 = var8.newDfp(var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(10.0d);
    java.lang.Double var23 = new java.lang.Double(100.0d);
    int var24 = org.apache.commons.math.util.MathUtils.compareTo((double)var21, (double)var22, (double)var23);
    java.lang.Integer var25 = new java.lang.Integer(0);
    java.lang.Long var26 = new java.lang.Long(100L);
    int var27 = org.apache.commons.math.util.MathUtils.pow((int)var25, (long)var26);
    int var28 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var24, (int)var25);
    org.apache.commons.math.dfp.DfpField var29 = new org.apache.commons.math.dfp.DfpField(var24);
    org.apache.commons.math.dfp.Dfp var30 = var29.getOne();
    boolean var31 = var19.greaterThan(var30);
    java.lang.Integer var32 = new java.lang.Integer(100);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double(10.0d);
    java.lang.Double var35 = new java.lang.Double(100.0d);
    int var36 = org.apache.commons.math.util.MathUtils.compareTo((double)var33, (double)var34, (double)var35);
    int var37 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var32, (int)var36);
    org.apache.commons.math.dfp.Dfp var38 = org.apache.commons.math.dfp.DfpMath.pow(var30, (int)var37);
    org.apache.commons.math.dfp.Dfp var39 = org.apache.commons.math.dfp.DfpMath.acos(var38);
    java.lang.Byte var40 = new java.lang.Byte((byte)100);
    org.apache.commons.math.dfp.Dfp var41 = var38.newInstance((byte)var40);
    org.apache.commons.math.dfp.Dfp var42 = var41.sqrt();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);

  }

  public void test108() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    java.lang.Double var11 = new java.lang.Double(10.0d);
    java.lang.Double var12 = new java.lang.Double(100.0d);
    int var13 = org.apache.commons.math.util.MathUtils.compareTo((double)var10, (double)var11, (double)var12);
    java.lang.Integer var14 = new java.lang.Integer(0);
    java.lang.Long var15 = new java.lang.Long(100L);
    int var16 = org.apache.commons.math.util.MathUtils.pow((int)var14, (long)var15);
    int var17 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var13, (int)var14);
    org.apache.commons.math.dfp.DfpField var18 = new org.apache.commons.math.dfp.DfpField(var13);
    org.apache.commons.math.dfp.Dfp var19 = var18.getOne();
    java.lang.Double var20 = new java.lang.Double((-1.0d));
    java.lang.Double var21 = new java.lang.Double(10.0d);
    java.lang.Double var22 = new java.lang.Double(100.0d);
    int var23 = org.apache.commons.math.util.MathUtils.compareTo((double)var20, (double)var21, (double)var22);
    java.lang.Integer var24 = new java.lang.Integer(0);
    java.lang.Long var25 = new java.lang.Long(100L);
    int var26 = org.apache.commons.math.util.MathUtils.pow((int)var24, (long)var25);
    int var27 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var23, (int)var24);
    org.apache.commons.math.dfp.DfpField var28 = new org.apache.commons.math.dfp.DfpField(var23);
    org.apache.commons.math.dfp.Dfp var29 = var28.getOne();
    org.apache.commons.math.dfp.Dfp var30 = var18.newDfp(var29);
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    java.lang.Double var32 = new java.lang.Double(10.0d);
    java.lang.Double var33 = new java.lang.Double(100.0d);
    int var34 = org.apache.commons.math.util.MathUtils.compareTo((double)var31, (double)var32, (double)var33);
    java.lang.Integer var35 = new java.lang.Integer(0);
    java.lang.Long var36 = new java.lang.Long(100L);
    int var37 = org.apache.commons.math.util.MathUtils.pow((int)var35, (long)var36);
    int var38 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var34, (int)var35);
    org.apache.commons.math.dfp.DfpField var39 = new org.apache.commons.math.dfp.DfpField(var34);
    org.apache.commons.math.dfp.Dfp var40 = var39.getOne();
    boolean var41 = var29.greaterThan(var40);
    org.apache.commons.math.dfp.Dfp var42 = var9.remainder(var40);
    org.apache.commons.math.dfp.Dfp var43 = var9.rint();
    java.lang.Double var44 = new java.lang.Double((-1.0d));
    java.lang.Double var45 = new java.lang.Double(10.0d);
    java.lang.Double var46 = new java.lang.Double(100.0d);
    int var47 = org.apache.commons.math.util.MathUtils.compareTo((double)var44, (double)var45, (double)var46);
    java.lang.Integer var48 = new java.lang.Integer(0);
    java.lang.Long var49 = new java.lang.Long(100L);
    int var50 = org.apache.commons.math.util.MathUtils.pow((int)var48, (long)var49);
    int var51 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var47, (int)var48);
    org.apache.commons.math.dfp.DfpField var52 = new org.apache.commons.math.dfp.DfpField(var47);
    org.apache.commons.math.dfp.Dfp var53 = var52.getOne();
    java.lang.Double var54 = new java.lang.Double((-1.0d));
    java.lang.Double var55 = new java.lang.Double(10.0d);
    java.lang.Double var56 = new java.lang.Double(100.0d);
    int var57 = org.apache.commons.math.util.MathUtils.compareTo((double)var54, (double)var55, (double)var56);
    java.lang.Integer var58 = new java.lang.Integer(0);
    java.lang.Long var59 = new java.lang.Long(100L);
    int var60 = org.apache.commons.math.util.MathUtils.pow((int)var58, (long)var59);
    int var61 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var57, (int)var58);
    org.apache.commons.math.dfp.DfpField var62 = new org.apache.commons.math.dfp.DfpField(var57);
    org.apache.commons.math.dfp.Dfp var63 = var62.getOne();
    org.apache.commons.math.dfp.Dfp var64 = var52.newDfp(var63);
    java.lang.Double var65 = new java.lang.Double((-1.0d));
    java.lang.Double var66 = new java.lang.Double(10.0d);
    java.lang.Double var67 = new java.lang.Double(100.0d);
    int var68 = org.apache.commons.math.util.MathUtils.compareTo((double)var65, (double)var66, (double)var67);
    java.lang.Integer var69 = new java.lang.Integer(0);
    java.lang.Long var70 = new java.lang.Long(100L);
    int var71 = org.apache.commons.math.util.MathUtils.pow((int)var69, (long)var70);
    int var72 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var68, (int)var69);
    org.apache.commons.math.dfp.DfpField var73 = new org.apache.commons.math.dfp.DfpField(var68);
    org.apache.commons.math.dfp.Dfp var74 = var73.getOne();
    boolean var75 = var63.greaterThan(var74);
    java.lang.Integer var76 = new java.lang.Integer(100);
    java.lang.Double var77 = new java.lang.Double((-1.0d));
    java.lang.Double var78 = new java.lang.Double(10.0d);
    java.lang.Double var79 = new java.lang.Double(100.0d);
    int var80 = org.apache.commons.math.util.MathUtils.compareTo((double)var77, (double)var78, (double)var79);
    int var81 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var76, (int)var80);
    org.apache.commons.math.dfp.Dfp var82 = org.apache.commons.math.dfp.DfpMath.pow(var74, (int)var81);
    org.apache.commons.math.dfp.Dfp var83 = org.apache.commons.math.dfp.DfpMath.pow(var43, var82);
    int var84 = var83.classify();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var43 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var53 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var63 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var64 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var74 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var82 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var83 == null);

  }

  public void test109() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var7};
    org.apache.commons.math.linear.OpenMapRealVector var9 = new org.apache.commons.math.linear.OpenMapRealVector(var8);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var10};
    org.apache.commons.math.linear.OpenMapRealVector var12 = new org.apache.commons.math.linear.OpenMapRealVector(var11);
    org.apache.commons.math.linear.OpenMapRealVector var13 = var9.add(var12);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var14};
    org.apache.commons.math.linear.OpenMapRealVector var16 = new org.apache.commons.math.linear.OpenMapRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    double[] var18 = new double[] { var17};
    org.apache.commons.math.linear.OpenMapRealVector var19 = new org.apache.commons.math.linear.OpenMapRealVector(var18);
    org.apache.commons.math.linear.OpenMapRealVector var20 = var16.add(var19);
    double var21 = var12.dotProduct(var19);
    org.apache.commons.math.linear.RealVector var22 = var19.mapAtanToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var23 = var19.copy();
    org.apache.commons.math.linear.OpenMapRealVector var24 = var6.subtract((org.apache.commons.math.linear.RealVector)var19);
    java.lang.Double var25 = new java.lang.Double((-1.0d));
    double[] var26 = new double[] { var25};
    org.apache.commons.math.linear.OpenMapRealVector var27 = new org.apache.commons.math.linear.OpenMapRealVector(var26);
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    double[] var29 = new double[] { var28};
    org.apache.commons.math.linear.OpenMapRealVector var30 = new org.apache.commons.math.linear.OpenMapRealVector(var29);
    org.apache.commons.math.linear.OpenMapRealVector var31 = var27.add(var30);
    org.apache.commons.math.linear.OpenMapRealVector var32 = new org.apache.commons.math.linear.OpenMapRealVector(var31);
    double var33 = var6.getDistance(var32);
    double var34 = var32.getNorm();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);

  }

  public void test110() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    int var10 = var8.getRadixDigits();
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    java.lang.Integer var15 = new java.lang.Integer(0);
    java.lang.Long var16 = new java.lang.Long(100L);
    int var17 = org.apache.commons.math.util.MathUtils.pow((int)var15, (long)var16);
    int var18 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var14, (int)var15);
    org.apache.commons.math.dfp.DfpField var19 = new org.apache.commons.math.dfp.DfpField(var14);
    org.apache.commons.math.dfp.Dfp var20 = var19.getOne();
    org.apache.commons.math.dfp.DfpField.RoundingMode var21 = var19.getRoundingMode();
    var8.setRoundingMode(var21);
    int var23 = var8.getIEEEFlags();
    org.apache.commons.math.dfp.Dfp var24 = var8.getSqr2();
    org.apache.commons.math.dfp.Dfp[] var25 = var8.getLn2Split();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);

  }

  public void test111() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(100.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    double[] var14 = new double[] { var11, var12, var13};
    double var15 = var9.getL1Distance(var14);
    org.apache.commons.math.linear.RealVector var16 = var9.mapSignum();
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    java.lang.Double var23 = new java.lang.Double(0.0d);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    double[] var25 = new double[] { var22, var23, var24};
    org.apache.commons.math.linear.ArrayRealVector var26 = new org.apache.commons.math.linear.ArrayRealVector(var25);
    org.apache.commons.math.linear.RealVector var27 = var21.ebeDivide((org.apache.commons.math.linear.RealVector)var26);
    org.apache.commons.math.linear.ArrayRealVector var28 = var9.add(var21);
    org.apache.commons.math.linear.RealVector var29 = var21.mapSqrtToSelf();
    org.apache.commons.math.linear.RealVector var30 = var21.mapCosh();
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    java.lang.Double var32 = new java.lang.Double(0.0d);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    double[] var34 = new double[] { var31, var32, var33};
    org.apache.commons.math.linear.ArrayRealVector var35 = new org.apache.commons.math.linear.ArrayRealVector(var34);
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    java.lang.Double var37 = new java.lang.Double(0.0d);
    java.lang.Double var38 = new java.lang.Double((-1.0d));
    double[] var39 = new double[] { var36, var37, var38};
    org.apache.commons.math.linear.ArrayRealVector var40 = new org.apache.commons.math.linear.ArrayRealVector(var39);
    org.apache.commons.math.linear.RealVector var41 = var35.ebeDivide((org.apache.commons.math.linear.RealVector)var40);
    org.apache.commons.math.linear.RealVector var42 = var35.mapLog10ToSelf();
    java.lang.Double var43 = new java.lang.Double(1.0d);
    org.apache.commons.math.linear.RealVector var44 = var35.mapMultiplyToSelf((double)var43);
    double var45 = org.apache.commons.math.util.MathUtils.indicator((double)var43);
    java.lang.Double var46 = new java.lang.Double((-1.0d));
    double[] var47 = new double[] { var46};
    org.apache.commons.math.linear.OpenMapRealVector var48 = new org.apache.commons.math.linear.OpenMapRealVector(var47);
    java.lang.Double var49 = new java.lang.Double((-1.0d));
    double[] var50 = new double[] { var49};
    org.apache.commons.math.linear.OpenMapRealVector var51 = new org.apache.commons.math.linear.OpenMapRealVector(var50);
    org.apache.commons.math.linear.OpenMapRealVector var52 = var48.add(var51);
    java.lang.Double var53 = new java.lang.Double((-1.0d));
    double[] var54 = new double[] { var53};
    org.apache.commons.math.linear.OpenMapRealVector var55 = new org.apache.commons.math.linear.OpenMapRealVector(var54);
    java.lang.Double var56 = new java.lang.Double((-1.0d));
    double[] var57 = new double[] { var56};
    org.apache.commons.math.linear.OpenMapRealVector var58 = new org.apache.commons.math.linear.OpenMapRealVector(var57);
    org.apache.commons.math.linear.OpenMapRealVector var59 = var55.add(var58);
    double var60 = var51.dotProduct(var58);
    org.apache.commons.math.complex.ComplexField var61 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var62 = var61.getZero();
    double var63 = var62.getArgument();
    int var64 = org.apache.commons.math.util.MathUtils.compareTo((double)var45, (double)var60, (double)var63);
    var21.set((double)var63);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var47 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var50 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var52 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var54 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var57 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var59 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var61 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var62 == null);

  }

  public void test112() throws Throwable {

    org.apache.commons.math.complex.ComplexField var0 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var1 = var0.getZero();
    org.apache.commons.math.complex.Complex var2 = var1.sqrt1z();
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    java.lang.Double var6 = new java.lang.Double((-1.0d));
    double[] var7 = new double[] { var6};
    org.apache.commons.math.linear.OpenMapRealVector var8 = new org.apache.commons.math.linear.OpenMapRealVector(var7);
    org.apache.commons.math.linear.OpenMapRealVector var9 = var5.add(var8);
    org.apache.commons.math.complex.ComplexField var10 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var11 = var10.getZero();
    org.apache.commons.math.complex.Complex var12 = var11.sinh();
    double var13 = var11.getImaginary();
    double var14 = org.apache.commons.math.util.MathUtils.indicator((double)var13);
    java.lang.Double var15 = new java.lang.Double((-1.0d));
    java.lang.Double var16 = new java.lang.Double(0.0d);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    double[] var18 = new double[] { var15, var16, var17};
    org.apache.commons.math.linear.ArrayRealVector var19 = new org.apache.commons.math.linear.ArrayRealVector(var18);
    java.lang.Double var20 = new java.lang.Double((-1.0d));
    java.lang.Double var21 = new java.lang.Double(0.0d);
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    double[] var23 = new double[] { var20, var21, var22};
    org.apache.commons.math.linear.ArrayRealVector var24 = new org.apache.commons.math.linear.ArrayRealVector(var23);
    org.apache.commons.math.linear.RealVector var25 = var19.ebeDivide((org.apache.commons.math.linear.RealVector)var24);
    org.apache.commons.math.linear.RealVector var26 = var19.mapLog10ToSelf();
    java.lang.Double var27 = new java.lang.Double(1.0d);
    org.apache.commons.math.linear.RealVector var28 = var19.mapMultiplyToSelf((double)var27);
    double var29 = org.apache.commons.math.util.MathUtils.indicator((double)var27);
    java.lang.Double var30 = new java.lang.Double(0.0d);
    boolean var31 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var13, (double)var29, (double)var30);
    org.apache.commons.math.linear.OpenMapRealVector var32 = var9.mapAdd((double)var30);
    double[] var33 = var32.getData();
    boolean var34 = var2.equals((java.lang.Object)var32);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var7 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);

  }

  public void test113() throws Throwable {

    java.lang.Integer var0 = new java.lang.Integer(10);
    java.lang.Double var1 = new java.lang.Double((-1.0d));
    java.lang.Double var2 = new java.lang.Double(10.0d);
    java.lang.Double var3 = new java.lang.Double(100.0d);
    int var4 = org.apache.commons.math.util.MathUtils.compareTo((double)var1, (double)var2, (double)var3);
    java.lang.Double var5 = new java.lang.Double(1.0d);
    java.lang.Double var6 = new java.lang.Double(1.0d);
    boolean var7 = org.apache.commons.math.util.MathUtils.equals((double)var5, (double)var6);
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    java.lang.Double var9 = new java.lang.Double(10.0d);
    java.lang.Double var10 = new java.lang.Double(100.0d);
    int var11 = org.apache.commons.math.util.MathUtils.compareTo((double)var8, (double)var9, (double)var10);
    boolean var12 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var3, (double)var6, (double)var10);
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    java.lang.Double var14 = new java.lang.Double(10.0d);
    java.lang.Double var15 = new java.lang.Double(1.0d);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    boolean var17 = org.apache.commons.math.util.MathUtils.equals((double)var15, (double)var16);
    int var18 = org.apache.commons.math.util.MathUtils.compareTo((double)var13, (double)var14, (double)var15);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(0.0d);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    double[] var22 = new double[] { var19, var20, var21};
    org.apache.commons.math.linear.ArrayRealVector var23 = new org.apache.commons.math.linear.ArrayRealVector(var22);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    java.lang.Double var25 = new java.lang.Double(0.0d);
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    double[] var27 = new double[] { var24, var25, var26};
    org.apache.commons.math.linear.ArrayRealVector var28 = new org.apache.commons.math.linear.ArrayRealVector(var27);
    org.apache.commons.math.linear.RealVector var29 = var23.ebeDivide((org.apache.commons.math.linear.RealVector)var28);
    org.apache.commons.math.linear.RealVector var30 = var23.mapLog10ToSelf();
    java.lang.Double var31 = new java.lang.Double(1.0d);
    org.apache.commons.math.linear.RealVector var32 = var23.mapMultiplyToSelf((double)var31);
    double var33 = org.apache.commons.math.util.MathUtils.indicator((double)var31);
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    java.lang.Double var35 = new java.lang.Double(10.0d);
    java.lang.Double var36 = new java.lang.Double(100.0d);
    int var37 = org.apache.commons.math.util.MathUtils.compareTo((double)var34, (double)var35, (double)var36);
    double var38 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var31, (double)var35);
    java.lang.Integer var39 = new java.lang.Integer(10);
    java.lang.Integer var40 = new java.lang.Integer(10);
    double var41 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var39, (int)var40);
    java.lang.Integer var42 = new java.lang.Integer(0);
    java.lang.Long var43 = new java.lang.Long(100L);
    int var44 = org.apache.commons.math.util.MathUtils.pow((int)var42, (long)var43);
    double var45 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var40, (int)var42);
    boolean var46 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var15, (double)var35, (int)var42);
    java.lang.Double var47 = new java.lang.Double((-1.0d));
    java.lang.Double var48 = new java.lang.Double(10.0d);
    java.lang.Double var49 = new java.lang.Double(100.0d);
    int var50 = org.apache.commons.math.util.MathUtils.compareTo((double)var47, (double)var48, (double)var49);
    boolean var51 = org.apache.commons.math.util.MathUtils.equals((double)var15, (double)var47);
    double var52 = org.apache.commons.math.util.MathUtils.log((double)var10, (double)var15);
    org.apache.commons.math.linear.OpenMapRealVector var53 = new org.apache.commons.math.linear.OpenMapRealVector(var0, var52);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);

  }

  public void test114() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    int var11 = var4.getMaxIndex();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    boolean var18 = org.apache.commons.math.util.MathUtils.equals((double)var16, (double)var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    boolean var23 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var14, (double)var17, (double)var21);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var24 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var11, var23);
    java.lang.String var25 = var24.toString();
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var26 = var24.getMinImpl();
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var27 = var24.getSumsqImpl();
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var28 = var24.getSumImpl();
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var29 = var24.getSumLogImpl();
    double[] var30 = var24.getSumSq();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);

  }

  public void test115() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double(1.0d);
    double[] var3 = new double[] { var0, var1, var2};
    java.lang.Double var4 = new java.lang.Double(100.0d);
    java.lang.Double var5 = new java.lang.Double(100.0d);
    double[] var6 = new double[] { var4, var5};
    // The following exception was thrown during execution.
    // Exception class: class java.lang.ArrayIndexOutOfBoundsException with canonical name: java.lang.ArrayIndexOutOfBoundsException
    // This behavior will recorded for regression testing.
    try {
      double var7 = org.apache.commons.math.util.MathUtils.distanceInf(var3, var6);
      fail("Expected exception of type java.lang.ArrayIndexOutOfBoundsException");
    } catch (java.lang.ArrayIndexOutOfBoundsException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);

  }

  public void test116() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp[] var9 = var8.getPiSplit();
    org.apache.commons.math.dfp.Dfp var10 = var8.getSqr2();
    java.lang.Long var11 = new java.lang.Long(100L);
    java.lang.Long var12 = new java.lang.Long((-1L));
    long var13 = org.apache.commons.math.util.MathUtils.lcm((long)var11, (long)var12);
    org.apache.commons.math.dfp.Dfp var14 = var8.newDfp((long)var11);
    org.apache.commons.math.dfp.Dfp var15 = var8.getZero();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);

  }

  public void test117() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(100.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    double[] var14 = new double[] { var11, var12, var13};
    double var15 = var9.getL1Distance(var14);
    org.apache.commons.math.linear.RealVector var16 = var9.mapUlpToSelf();
    org.apache.commons.math.linear.RealVector var17 = var9.mapCeil();
    double var18 = var9.getNorm();
    double[] var19 = new double[] { };
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      double var20 = var9.getLInfDistance(var19);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);

  }

  public void test118() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    int var10 = var9.log10K();
    java.lang.Integer var11 = new java.lang.Integer(100);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    int var16 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var11, (int)var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(10.0d);
    java.lang.Double var19 = new java.lang.Double(100.0d);
    int var20 = org.apache.commons.math.util.MathUtils.compareTo((double)var17, (double)var18, (double)var19);
    int var21 = org.apache.commons.math.util.MathUtils.gcd((int)var15, (int)var20);
    org.apache.commons.math.dfp.Dfp var22 = var9.power10K((int)var15);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    java.lang.Double var24 = new java.lang.Double(10.0d);
    java.lang.Double var25 = new java.lang.Double(100.0d);
    int var26 = org.apache.commons.math.util.MathUtils.compareTo((double)var23, (double)var24, (double)var25);
    java.lang.Integer var27 = new java.lang.Integer(0);
    java.lang.Long var28 = new java.lang.Long(100L);
    int var29 = org.apache.commons.math.util.MathUtils.pow((int)var27, (long)var28);
    int var30 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var26, (int)var27);
    org.apache.commons.math.dfp.DfpField var31 = new org.apache.commons.math.dfp.DfpField(var26);
    org.apache.commons.math.dfp.Dfp var32 = var31.getOne();
    org.apache.commons.math.dfp.Dfp var33 = var22.multiply(var32);
    org.apache.commons.math.dfp.Dfp var34 = new org.apache.commons.math.dfp.Dfp(var32);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);

  }

  public void test119() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp[] var9 = var8.getPiSplit();
    org.apache.commons.math.dfp.Dfp var10 = var8.newDfp();
    org.apache.commons.math.dfp.Dfp[] var11 = var8.getLn5Split();
    org.apache.commons.math.dfp.Dfp var12 = var8.getLn2();
    org.apache.commons.math.dfp.Dfp var13 = var8.getLn2();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);

  }

  public void test120() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var4.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var12 = var4.mapInvToSelf();
    org.apache.commons.math.linear.RealVector var13 = var4.mapCeilToSelf();
    org.apache.commons.math.linear.RealVector var14 = var4.mapInvToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);

  }

  public void test121() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    int var11 = var4.getMaxIndex();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    boolean var18 = org.apache.commons.math.util.MathUtils.equals((double)var16, (double)var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    boolean var23 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var14, (double)var17, (double)var21);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var24 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var11, var23);
    java.lang.String var25 = var24.toString();
    var24.clear();
    double[] var27 = var24.getGeometricMean();
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    java.lang.Double var29 = new java.lang.Double(0.0d);
    java.lang.Double var30 = new java.lang.Double((-1.0d));
    double[] var31 = new double[] { var28, var29, var30};
    org.apache.commons.math.linear.ArrayRealVector var32 = new org.apache.commons.math.linear.ArrayRealVector(var31);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double(0.0d);
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    double[] var36 = new double[] { var33, var34, var35};
    org.apache.commons.math.linear.ArrayRealVector var37 = new org.apache.commons.math.linear.ArrayRealVector(var36);
    org.apache.commons.math.linear.RealVector var38 = var32.ebeDivide((org.apache.commons.math.linear.RealVector)var37);
    int var39 = var32.getMaxIndex();
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    java.lang.Double var41 = new java.lang.Double(10.0d);
    java.lang.Double var42 = new java.lang.Double(100.0d);
    int var43 = org.apache.commons.math.util.MathUtils.compareTo((double)var40, (double)var41, (double)var42);
    java.lang.Double var44 = new java.lang.Double(1.0d);
    java.lang.Double var45 = new java.lang.Double(1.0d);
    boolean var46 = org.apache.commons.math.util.MathUtils.equals((double)var44, (double)var45);
    java.lang.Double var47 = new java.lang.Double((-1.0d));
    java.lang.Double var48 = new java.lang.Double(10.0d);
    java.lang.Double var49 = new java.lang.Double(100.0d);
    int var50 = org.apache.commons.math.util.MathUtils.compareTo((double)var47, (double)var48, (double)var49);
    boolean var51 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var42, (double)var45, (double)var49);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var52 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var39, var51);
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var53 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation(var51);
    java.lang.Double var54 = new java.lang.Double((-1.0d));
    double[] var55 = new double[] { var54};
    var53.incrementAll(var55);
    long var57 = var53.getN();
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var58 = new org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] { var53};
    var24.setMinImpl(var58);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var55 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var58 == null);

  }

  public void test122() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    int var11 = var4.getMaxIndex();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    boolean var18 = org.apache.commons.math.util.MathUtils.equals((double)var16, (double)var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    boolean var23 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var14, (double)var17, (double)var21);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var24 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var11, var23);
    java.lang.String var25 = var24.toString();
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var26 = var24.getMinImpl();
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var27 = var24.getSumsqImpl();
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var28 = var24.getSumImpl();
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var29 = var24.getGeoMeanImpl();
    java.lang.Double var30 = new java.lang.Double((-1.0d));
    double[] var31 = new double[] { var30};
    org.apache.commons.math.linear.OpenMapRealVector var32 = new org.apache.commons.math.linear.OpenMapRealVector(var31);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    double[] var34 = new double[] { var33};
    org.apache.commons.math.linear.OpenMapRealVector var35 = new org.apache.commons.math.linear.OpenMapRealVector(var34);
    org.apache.commons.math.linear.OpenMapRealVector var36 = var32.add(var35);
    boolean var37 = var24.equals((java.lang.Object)var35);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);

  }

  public void test123() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    java.lang.Double var11 = new java.lang.Double(10.0d);
    java.lang.Double var12 = new java.lang.Double(100.0d);
    int var13 = org.apache.commons.math.util.MathUtils.compareTo((double)var10, (double)var11, (double)var12);
    java.lang.Integer var14 = new java.lang.Integer(0);
    java.lang.Long var15 = new java.lang.Long(100L);
    int var16 = org.apache.commons.math.util.MathUtils.pow((int)var14, (long)var15);
    int var17 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var13, (int)var14);
    org.apache.commons.math.dfp.DfpField var18 = new org.apache.commons.math.dfp.DfpField(var13);
    org.apache.commons.math.dfp.Dfp var19 = var18.getOne();
    org.apache.commons.math.dfp.Dfp var20 = var8.newDfp(var19);
    boolean var21 = var20.isNaN();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);

  }

  public void test124() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var7};
    org.apache.commons.math.linear.OpenMapRealVector var9 = new org.apache.commons.math.linear.OpenMapRealVector(var8);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var10};
    org.apache.commons.math.linear.OpenMapRealVector var12 = new org.apache.commons.math.linear.OpenMapRealVector(var11);
    org.apache.commons.math.linear.OpenMapRealVector var13 = var9.add(var12);
    double var14 = var5.dotProduct(var12);
    org.apache.commons.math.linear.RealVector var15 = var12.mapAtanToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var16 = var12.copy();
    java.lang.Double var17 = new java.lang.Double(0.0d);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    int var20 = org.apache.commons.math.util.MathUtils.compareTo((double)var17, (double)var18, (double)var19);
    org.apache.commons.math.linear.RealVector var21 = var12.mapMultiply((double)var18);
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    java.lang.Double var23 = new java.lang.Double(0.0d);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    double[] var25 = new double[] { var22, var23, var24};
    org.apache.commons.math.linear.ArrayRealVector var26 = new org.apache.commons.math.linear.ArrayRealVector(var25);
    java.lang.Double var27 = new java.lang.Double((-1.0d));
    java.lang.Double var28 = new java.lang.Double(0.0d);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    double[] var30 = new double[] { var27, var28, var29};
    org.apache.commons.math.linear.ArrayRealVector var31 = new org.apache.commons.math.linear.ArrayRealVector(var30);
    org.apache.commons.math.linear.RealVector var32 = var26.ebeDivide((org.apache.commons.math.linear.RealVector)var31);
    org.apache.commons.math.linear.RealVector var33 = var26.mapLog10ToSelf();
    java.lang.Double var34 = new java.lang.Double(1.0d);
    org.apache.commons.math.linear.RealVector var35 = var26.mapMultiplyToSelf((double)var34);
    double var36 = org.apache.commons.math.util.MathUtils.indicator((double)var34);
    java.lang.Double var37 = new java.lang.Double((-1.0d));
    java.lang.Double var38 = new java.lang.Double(10.0d);
    java.lang.Double var39 = new java.lang.Double(100.0d);
    int var40 = org.apache.commons.math.util.MathUtils.compareTo((double)var37, (double)var38, (double)var39);
    double var41 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var34, (double)var38);
    org.apache.commons.math.complex.Complex var42 = new org.apache.commons.math.complex.Complex(var18, var38);
    org.apache.commons.math.complex.Complex var43 = var42.tan();
    org.apache.commons.math.complex.Complex var44 = var42.acos();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var43 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);

  }

  public void test125() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var4.mapTanhToSelf();
    org.apache.commons.math.linear.RealVector var12 = var4.mapSqrtToSelf();
    org.apache.commons.math.linear.RealVector var13 = var4.mapCbrtToSelf();
    org.apache.commons.math.linear.RealVector var14 = var4.mapRintToSelf();
    org.apache.commons.math.linear.RealVector var15 = var4.mapExpm1ToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);

  }

  public void test126() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    java.lang.Double var11 = new java.lang.Double(10.0d);
    java.lang.Double var12 = new java.lang.Double(100.0d);
    int var13 = org.apache.commons.math.util.MathUtils.compareTo((double)var10, (double)var11, (double)var12);
    java.lang.Integer var14 = new java.lang.Integer(0);
    java.lang.Long var15 = new java.lang.Long(100L);
    int var16 = org.apache.commons.math.util.MathUtils.pow((int)var14, (long)var15);
    int var17 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var13, (int)var14);
    org.apache.commons.math.dfp.DfpField var18 = new org.apache.commons.math.dfp.DfpField(var13);
    org.apache.commons.math.dfp.Dfp var19 = var18.getOne();
    java.lang.Double var20 = new java.lang.Double((-1.0d));
    java.lang.Double var21 = new java.lang.Double(10.0d);
    java.lang.Double var22 = new java.lang.Double(100.0d);
    int var23 = org.apache.commons.math.util.MathUtils.compareTo((double)var20, (double)var21, (double)var22);
    java.lang.Integer var24 = new java.lang.Integer(0);
    java.lang.Long var25 = new java.lang.Long(100L);
    int var26 = org.apache.commons.math.util.MathUtils.pow((int)var24, (long)var25);
    int var27 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var23, (int)var24);
    org.apache.commons.math.dfp.DfpField var28 = new org.apache.commons.math.dfp.DfpField(var23);
    org.apache.commons.math.dfp.Dfp var29 = var28.getOne();
    org.apache.commons.math.dfp.Dfp var30 = var18.newDfp(var29);
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    java.lang.Double var32 = new java.lang.Double(10.0d);
    java.lang.Double var33 = new java.lang.Double(100.0d);
    int var34 = org.apache.commons.math.util.MathUtils.compareTo((double)var31, (double)var32, (double)var33);
    java.lang.Integer var35 = new java.lang.Integer(0);
    java.lang.Long var36 = new java.lang.Long(100L);
    int var37 = org.apache.commons.math.util.MathUtils.pow((int)var35, (long)var36);
    int var38 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var34, (int)var35);
    org.apache.commons.math.dfp.DfpField var39 = new org.apache.commons.math.dfp.DfpField(var34);
    org.apache.commons.math.dfp.Dfp var40 = var39.getOne();
    boolean var41 = var29.greaterThan(var40);
    org.apache.commons.math.dfp.Dfp var42 = var9.remainder(var40);
    org.apache.commons.math.dfp.Dfp var43 = var9.rint();
    java.lang.Double var44 = new java.lang.Double((-1.0d));
    double[] var45 = new double[] { var44};
    org.apache.commons.math.linear.OpenMapRealVector var46 = new org.apache.commons.math.linear.OpenMapRealVector(var45);
    int var47 = var46.getDimension();
    java.lang.Double var48 = new java.lang.Double((-1.0d));
    java.lang.Double var49 = new java.lang.Double(0.0d);
    java.lang.Double var50 = new java.lang.Double((-1.0d));
    double[] var51 = new double[] { var48, var49, var50};
    org.apache.commons.math.linear.ArrayRealVector var52 = new org.apache.commons.math.linear.ArrayRealVector(var51);
    java.lang.Double var53 = new java.lang.Double((-1.0d));
    java.lang.Double var54 = new java.lang.Double(0.0d);
    java.lang.Double var55 = new java.lang.Double((-1.0d));
    double[] var56 = new double[] { var53, var54, var55};
    org.apache.commons.math.linear.ArrayRealVector var57 = new org.apache.commons.math.linear.ArrayRealVector(var56);
    org.apache.commons.math.linear.RealVector var58 = var52.ebeDivide((org.apache.commons.math.linear.RealVector)var57);
    java.lang.Double var59 = new java.lang.Double((-1.0d));
    java.lang.Double var60 = new java.lang.Double(10.0d);
    java.lang.Double var61 = new java.lang.Double(100.0d);
    int var62 = org.apache.commons.math.util.MathUtils.compareTo((double)var59, (double)var60, (double)var61);
    org.apache.commons.math.linear.RealVector var63 = var57.mapPowToSelf((double)var61);
    org.apache.commons.math.linear.ArrayRealVector var64 = new org.apache.commons.math.linear.ArrayRealVector(var47, var61);
    org.apache.commons.math.dfp.Dfp var65 = var9.power10K((int)var47);
    org.apache.commons.math.dfp.Dfp var66 = var65.getTwo();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var43 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var45 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var51 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var56 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var58 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var63 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var65 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var66 == null);

  }

  public void test127() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    int var3 = var2.getDimension();
    java.lang.Double var4 = new java.lang.Double((-1.0d));
    java.lang.Double var5 = new java.lang.Double(0.0d);
    java.lang.Double var6 = new java.lang.Double((-1.0d));
    double[] var7 = new double[] { var4, var5, var6};
    org.apache.commons.math.linear.ArrayRealVector var8 = new org.apache.commons.math.linear.ArrayRealVector(var7);
    java.lang.Double var9 = new java.lang.Double((-1.0d));
    java.lang.Double var10 = new java.lang.Double(0.0d);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    double[] var12 = new double[] { var9, var10, var11};
    org.apache.commons.math.linear.ArrayRealVector var13 = new org.apache.commons.math.linear.ArrayRealVector(var12);
    org.apache.commons.math.linear.RealVector var14 = var8.ebeDivide((org.apache.commons.math.linear.RealVector)var13);
    java.lang.Double var15 = new java.lang.Double((-1.0d));
    java.lang.Double var16 = new java.lang.Double(10.0d);
    java.lang.Double var17 = new java.lang.Double(100.0d);
    int var18 = org.apache.commons.math.util.MathUtils.compareTo((double)var15, (double)var16, (double)var17);
    org.apache.commons.math.linear.RealVector var19 = var13.mapPowToSelf((double)var17);
    org.apache.commons.math.linear.ArrayRealVector var20 = new org.apache.commons.math.linear.ArrayRealVector(var3, var17);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(10.0d);
    java.lang.Double var23 = new java.lang.Double(1.0d);
    java.lang.Double var24 = new java.lang.Double(1.0d);
    boolean var25 = org.apache.commons.math.util.MathUtils.equals((double)var23, (double)var24);
    int var26 = org.apache.commons.math.util.MathUtils.compareTo((double)var21, (double)var22, (double)var23);
    java.lang.Double var27 = new java.lang.Double((-1.0d));
    java.lang.Double var28 = new java.lang.Double(0.0d);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    double[] var30 = new double[] { var27, var28, var29};
    org.apache.commons.math.linear.ArrayRealVector var31 = new org.apache.commons.math.linear.ArrayRealVector(var30);
    java.lang.Double var32 = new java.lang.Double((-1.0d));
    java.lang.Double var33 = new java.lang.Double(0.0d);
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    double[] var35 = new double[] { var32, var33, var34};
    org.apache.commons.math.linear.ArrayRealVector var36 = new org.apache.commons.math.linear.ArrayRealVector(var35);
    org.apache.commons.math.linear.RealVector var37 = var31.ebeDivide((org.apache.commons.math.linear.RealVector)var36);
    org.apache.commons.math.linear.RealVector var38 = var31.mapLog10ToSelf();
    java.lang.Double var39 = new java.lang.Double(1.0d);
    org.apache.commons.math.linear.RealVector var40 = var31.mapMultiplyToSelf((double)var39);
    double var41 = org.apache.commons.math.util.MathUtils.indicator((double)var39);
    java.lang.Double var42 = new java.lang.Double((-1.0d));
    java.lang.Double var43 = new java.lang.Double(10.0d);
    java.lang.Double var44 = new java.lang.Double(100.0d);
    int var45 = org.apache.commons.math.util.MathUtils.compareTo((double)var42, (double)var43, (double)var44);
    double var46 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var39, (double)var43);
    java.lang.Integer var47 = new java.lang.Integer(10);
    java.lang.Integer var48 = new java.lang.Integer(10);
    double var49 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var47, (int)var48);
    java.lang.Integer var50 = new java.lang.Integer(0);
    java.lang.Long var51 = new java.lang.Long(100L);
    int var52 = org.apache.commons.math.util.MathUtils.pow((int)var50, (long)var51);
    double var53 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var48, (int)var50);
    boolean var54 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var23, (double)var43, (int)var50);
    org.apache.commons.math.linear.RealVector var55 = var20.mapMultiplyToSelf((double)var23);
    org.apache.commons.math.linear.RealVector var56 = var20.mapLog10();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var7 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var55 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var56 == null);

  }

  public void test128() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    org.apache.commons.math.dfp.Dfp var10 = var8.getOne();
    org.apache.commons.math.dfp.Dfp var11 = var8.getLn10();
    java.lang.Long var12 = new java.lang.Long(100L);
    java.lang.Integer var13 = new java.lang.Integer(0);
    java.lang.Long var14 = new java.lang.Long(100L);
    int var15 = org.apache.commons.math.util.MathUtils.pow((int)var13, (long)var14);
    long var16 = org.apache.commons.math.util.MathUtils.subAndCheck((long)var12, (long)var14);
    java.lang.Integer var17 = new java.lang.Integer(100);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    java.lang.Double var19 = new java.lang.Double(10.0d);
    java.lang.Double var20 = new java.lang.Double(100.0d);
    int var21 = org.apache.commons.math.util.MathUtils.compareTo((double)var18, (double)var19, (double)var20);
    int var22 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var17, (int)var21);
    long var23 = org.apache.commons.math.util.MathUtils.pow((long)var16, (int)var22);
    java.lang.Long var24 = new java.lang.Long(0L);
    long var25 = org.apache.commons.math.util.MathUtils.gcd((long)var16, (long)var24);
    org.apache.commons.math.dfp.Dfp var26 = var8.newDfp((long)var16);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);

  }

  public void test129() throws Throwable {

    java.lang.Double var0 = new java.lang.Double(100.0d);
    java.lang.Double var1 = new java.lang.Double(0.0d);
    double[] var2 = new double[] { var0, var1};
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    java.lang.Double var4 = new java.lang.Double(0.0d);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    double[] var6 = new double[] { var3, var4, var5};
    org.apache.commons.math.linear.ArrayRealVector var7 = new org.apache.commons.math.linear.ArrayRealVector(var6);
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    java.lang.Double var9 = new java.lang.Double(0.0d);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var8, var9, var10};
    org.apache.commons.math.linear.ArrayRealVector var12 = new org.apache.commons.math.linear.ArrayRealVector(var11);
    org.apache.commons.math.linear.RealVector var13 = var7.ebeDivide((org.apache.commons.math.linear.RealVector)var12);
    org.apache.commons.math.linear.RealVector var14 = var7.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var15 = var7.mapInvToSelf();
    double[] var16 = new double[] { };
    org.apache.commons.math.linear.ArrayRealVector var17 = new org.apache.commons.math.linear.ArrayRealVector(var7, var16);
    org.apache.commons.math.linear.ArrayRealVector var18 = new org.apache.commons.math.linear.ArrayRealVector(var2, var17);
    org.apache.commons.math.linear.RealVector var19 = var18.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var20 = var18.mapRintToSelf();
    org.apache.commons.math.linear.RealVector var21 = var18.mapExpm1ToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);

  }

  public void test130() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    org.apache.commons.math.linear.RealVector var15 = var9.mapPowToSelf((double)var13);
    java.lang.Integer var16 = new java.lang.Integer(10);
    int var17 = org.apache.commons.math.util.MathUtils.indicator((int)var16);
    java.lang.Integer var18 = new java.lang.Integer(10);
    int var19 = org.apache.commons.math.util.MathUtils.indicator((int)var18);
    org.apache.commons.math.linear.RealVector var20 = var9.getSubVector((int)var17, (int)var19);
    double var21 = var9.getL1Norm();
    double[] var22 = var9.getDataRef();
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    java.lang.Double var24 = new java.lang.Double(0.0d);
    java.lang.Double var25 = new java.lang.Double((-1.0d));
    double[] var26 = new double[] { var23, var24, var25};
    org.apache.commons.math.linear.ArrayRealVector var27 = new org.apache.commons.math.linear.ArrayRealVector(var26);
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    java.lang.Double var29 = new java.lang.Double(0.0d);
    java.lang.Double var30 = new java.lang.Double((-1.0d));
    double[] var31 = new double[] { var28, var29, var30};
    org.apache.commons.math.linear.ArrayRealVector var32 = new org.apache.commons.math.linear.ArrayRealVector(var31);
    org.apache.commons.math.linear.RealVector var33 = var27.ebeDivide((org.apache.commons.math.linear.RealVector)var32);
    org.apache.commons.math.linear.RealVector var34 = var32.mapAsinToSelf();
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    java.lang.Double var36 = new java.lang.Double(0.0d);
    java.lang.Double var37 = new java.lang.Double((-1.0d));
    double[] var38 = new double[] { var35, var36, var37};
    org.apache.commons.math.linear.ArrayRealVector var39 = new org.apache.commons.math.linear.ArrayRealVector(var38);
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    java.lang.Double var41 = new java.lang.Double(0.0d);
    java.lang.Double var42 = new java.lang.Double((-1.0d));
    double[] var43 = new double[] { var40, var41, var42};
    org.apache.commons.math.linear.ArrayRealVector var44 = new org.apache.commons.math.linear.ArrayRealVector(var43);
    org.apache.commons.math.linear.RealVector var45 = var39.ebeDivide((org.apache.commons.math.linear.RealVector)var44);
    org.apache.commons.math.linear.RealVector var46 = var39.mapRintToSelf();
    org.apache.commons.math.linear.ArrayRealVector var47 = var32.ebeDivide(var39);
    org.apache.commons.math.linear.RealVector var48 = var32.mapLog1pToSelf();
    org.apache.commons.math.linear.RealVector var49 = var32.mapExpToSelf();
    org.apache.commons.math.linear.RealVector var50 = var32.mapLogToSelf();
    org.apache.commons.math.linear.RealVector var51 = var9.add(var50);
    org.apache.commons.math.linear.RealVector var52 = var9.mapAtan();
    java.lang.Double var53 = new java.lang.Double((-1.0d));
    java.lang.Double var54 = new java.lang.Double(0.0d);
    java.lang.Double var55 = new java.lang.Double((-1.0d));
    double[] var56 = new double[] { var53, var54, var55};
    org.apache.commons.math.linear.ArrayRealVector var57 = new org.apache.commons.math.linear.ArrayRealVector(var56);
    java.lang.Double var58 = new java.lang.Double(1.0d);
    java.lang.Double var59 = new java.lang.Double(1.0d);
    boolean var60 = org.apache.commons.math.util.MathUtils.equals((double)var58, (double)var59);
    org.apache.commons.math.linear.RealVector var61 = var57.mapDivide((double)var59);
    java.lang.Double var62 = new java.lang.Double(100.0d);
    java.lang.Double var63 = new java.lang.Double(0.0d);
    double[] var64 = new double[] { var62, var63};
    java.lang.Double var65 = new java.lang.Double((-1.0d));
    java.lang.Double var66 = new java.lang.Double(0.0d);
    java.lang.Double var67 = new java.lang.Double((-1.0d));
    double[] var68 = new double[] { var65, var66, var67};
    org.apache.commons.math.linear.ArrayRealVector var69 = new org.apache.commons.math.linear.ArrayRealVector(var68);
    java.lang.Double var70 = new java.lang.Double((-1.0d));
    java.lang.Double var71 = new java.lang.Double(0.0d);
    java.lang.Double var72 = new java.lang.Double((-1.0d));
    double[] var73 = new double[] { var70, var71, var72};
    org.apache.commons.math.linear.ArrayRealVector var74 = new org.apache.commons.math.linear.ArrayRealVector(var73);
    org.apache.commons.math.linear.RealVector var75 = var69.ebeDivide((org.apache.commons.math.linear.RealVector)var74);
    org.apache.commons.math.linear.RealVector var76 = var69.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var77 = var69.mapInvToSelf();
    double[] var78 = new double[] { };
    org.apache.commons.math.linear.ArrayRealVector var79 = new org.apache.commons.math.linear.ArrayRealVector(var69, var78);
    org.apache.commons.math.linear.ArrayRealVector var80 = new org.apache.commons.math.linear.ArrayRealVector(var64, var79);
    java.util.Iterator var81 = var79.iterator();
    org.apache.commons.math.linear.OpenMapRealVector var82 = new org.apache.commons.math.linear.OpenMapRealVector((org.apache.commons.math.linear.RealVector)var79);
    org.apache.commons.math.linear.RealVector var83 = var57.ebeDivide((org.apache.commons.math.linear.RealVector)var79);
    org.apache.commons.math.linear.ArrayRealVector var84 = new org.apache.commons.math.linear.ArrayRealVector(var9, (org.apache.commons.math.linear.RealVector)var79);
    org.apache.commons.math.linear.RealVector var85 = var79.mapSinhToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var43 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var45 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var46 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var47 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var48 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var49 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var50 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var51 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var52 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var56 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var61 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var64 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var68 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var73 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var75 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var76 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var77 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var78 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var81 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var83 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var85 == null);

  }

  public void test131() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    double[] var11 = var4.toArray();
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    double[] var14 = new double[] { var12, var13};
    org.apache.commons.math.linear.ArrayRealVector var15 = new org.apache.commons.math.linear.ArrayRealVector(var14);
    org.apache.commons.math.linear.ArrayRealVector var16 = new org.apache.commons.math.linear.ArrayRealVector(var4, var15);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);

  }

  public void test132() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    int var10 = var8.getRadixDigits();
    org.apache.commons.math.dfp.Dfp var11 = var8.getLn5();
    var8.clearIEEEFlags();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);

  }

  public void test133() throws Throwable {

    java.lang.Integer var0 = new java.lang.Integer(100);
    java.lang.Double var1 = new java.lang.Double((-1.0d));
    java.lang.Double var2 = new java.lang.Double(10.0d);
    java.lang.Double var3 = new java.lang.Double(100.0d);
    int var4 = org.apache.commons.math.util.MathUtils.compareTo((double)var1, (double)var2, (double)var3);
    java.lang.Integer var5 = new java.lang.Integer(0);
    java.lang.Long var6 = new java.lang.Long(100L);
    int var7 = org.apache.commons.math.util.MathUtils.pow((int)var5, (long)var6);
    int var8 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var4, (int)var5);
    int var9 = org.apache.commons.math.util.MathUtils.pow((int)var0, (int)var4);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    java.lang.Double var11 = new java.lang.Double(0.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    double[] var13 = new double[] { var10, var11, var12};
    org.apache.commons.math.linear.ArrayRealVector var14 = new org.apache.commons.math.linear.ArrayRealVector(var13);
    java.lang.Double var15 = new java.lang.Double((-1.0d));
    java.lang.Double var16 = new java.lang.Double(0.0d);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    double[] var18 = new double[] { var15, var16, var17};
    org.apache.commons.math.linear.ArrayRealVector var19 = new org.apache.commons.math.linear.ArrayRealVector(var18);
    org.apache.commons.math.linear.RealVector var20 = var14.ebeDivide((org.apache.commons.math.linear.RealVector)var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(10.0d);
    java.lang.Double var23 = new java.lang.Double(100.0d);
    int var24 = org.apache.commons.math.util.MathUtils.compareTo((double)var21, (double)var22, (double)var23);
    org.apache.commons.math.linear.RealVector var25 = var19.mapPowToSelf((double)var23);
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    java.lang.Double var27 = new java.lang.Double(0.0d);
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    double[] var29 = new double[] { var26, var27, var28};
    org.apache.commons.math.linear.ArrayRealVector var30 = new org.apache.commons.math.linear.ArrayRealVector(var29);
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    java.lang.Double var32 = new java.lang.Double(0.0d);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    double[] var34 = new double[] { var31, var32, var33};
    org.apache.commons.math.linear.ArrayRealVector var35 = new org.apache.commons.math.linear.ArrayRealVector(var34);
    org.apache.commons.math.linear.RealVector var36 = var30.ebeDivide((org.apache.commons.math.linear.RealVector)var35);
    org.apache.commons.math.linear.RealVector var37 = var30.mapRintToSelf();
    java.lang.Double var38 = new java.lang.Double((-1.0d));
    java.lang.Double var39 = new java.lang.Double(0.0d);
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    double[] var41 = new double[] { var38, var39, var40};
    org.apache.commons.math.linear.ArrayRealVector var42 = new org.apache.commons.math.linear.ArrayRealVector(var41);
    org.apache.commons.math.linear.RealVector var43 = var42.mapExpm1();
    org.apache.commons.math.linear.RealVector var44 = var30.projection(var43);
    double var45 = var30.getMinValue();
    boolean var46 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var23, (double)var45);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var47 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var4, var46);
    var47.clear();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var43 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);

  }

  public void test134() throws Throwable {

    java.lang.Integer var0 = new java.lang.Integer(10);
    java.lang.Integer var1 = new java.lang.Integer(10);
    double var2 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var0, (int)var1);
    java.lang.Integer var3 = new java.lang.Integer(0);
    java.lang.Long var4 = new java.lang.Long(100L);
    int var5 = org.apache.commons.math.util.MathUtils.pow((int)var3, (long)var4);
    double var6 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var1, (int)var3);
    long var7 = org.apache.commons.math.util.MathUtils.factorial((int)var1);
    java.lang.Long var8 = new java.lang.Long(100L);
    long var9 = org.apache.commons.math.util.MathUtils.gcd((long)var7, (long)var8);

  }

  public void test135() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var4.mapAtanToSelf();
    java.lang.Integer var12 = new java.lang.Integer(100);
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    java.lang.Double var14 = new java.lang.Double(10.0d);
    java.lang.Double var15 = new java.lang.Double(100.0d);
    int var16 = org.apache.commons.math.util.MathUtils.compareTo((double)var13, (double)var14, (double)var15);
    int var17 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var12, (int)var16);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    java.lang.Double var19 = new java.lang.Double(10.0d);
    java.lang.Double var20 = new java.lang.Double(100.0d);
    int var21 = org.apache.commons.math.util.MathUtils.compareTo((double)var18, (double)var19, (double)var20);
    int var22 = org.apache.commons.math.util.MathUtils.gcd((int)var16, (int)var21);
    int var23 = org.apache.commons.math.util.MathUtils.sign((int)var22);
    java.lang.Double var24 = new java.lang.Double(100.0d);
    java.lang.Double var25 = new java.lang.Double(10.0d);
    double[] var26 = new double[] { var24, var25};
    double var27 = org.apache.commons.math.util.MathUtils.safeNorm(var26);
    var4.setEntry((int)var23, (double)var27);
    org.apache.commons.math.linear.RealVector var29 = var4.mapLog1pToSelf();
    java.lang.Double var30 = new java.lang.Double((-1.0d));
    java.lang.Double var31 = new java.lang.Double(0.0d);
    java.lang.Double var32 = new java.lang.Double((-1.0d));
    double[] var33 = new double[] { var30, var31, var32};
    org.apache.commons.math.linear.ArrayRealVector var34 = new org.apache.commons.math.linear.ArrayRealVector(var33);
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    java.lang.Double var36 = new java.lang.Double(0.0d);
    java.lang.Double var37 = new java.lang.Double((-1.0d));
    double[] var38 = new double[] { var35, var36, var37};
    org.apache.commons.math.linear.ArrayRealVector var39 = new org.apache.commons.math.linear.ArrayRealVector(var38);
    org.apache.commons.math.linear.RealVector var40 = var34.ebeDivide((org.apache.commons.math.linear.RealVector)var39);
    java.lang.Double var41 = new java.lang.Double(100.0d);
    java.lang.Double var42 = new java.lang.Double((-1.0d));
    java.lang.Double var43 = new java.lang.Double((-1.0d));
    double[] var44 = new double[] { var41, var42, var43};
    double var45 = var39.getL1Distance(var44);
    org.apache.commons.math.linear.RealVector var46 = var39.mapSignum();
    java.lang.String var47 = var39.toString();
    boolean var48 = var39.isNaN();
    java.lang.Double var49 = new java.lang.Double(100.0d);
    java.lang.Double var50 = new java.lang.Double(0.0d);
    double[] var51 = new double[] { var49, var50};
    java.lang.Double var52 = new java.lang.Double((-1.0d));
    java.lang.Double var53 = new java.lang.Double(0.0d);
    java.lang.Double var54 = new java.lang.Double((-1.0d));
    double[] var55 = new double[] { var52, var53, var54};
    org.apache.commons.math.linear.ArrayRealVector var56 = new org.apache.commons.math.linear.ArrayRealVector(var55);
    java.lang.Double var57 = new java.lang.Double((-1.0d));
    java.lang.Double var58 = new java.lang.Double(0.0d);
    java.lang.Double var59 = new java.lang.Double((-1.0d));
    double[] var60 = new double[] { var57, var58, var59};
    org.apache.commons.math.linear.ArrayRealVector var61 = new org.apache.commons.math.linear.ArrayRealVector(var60);
    org.apache.commons.math.linear.RealVector var62 = var56.ebeDivide((org.apache.commons.math.linear.RealVector)var61);
    org.apache.commons.math.linear.RealVector var63 = var56.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var64 = var56.mapInvToSelf();
    double[] var65 = new double[] { };
    org.apache.commons.math.linear.ArrayRealVector var66 = new org.apache.commons.math.linear.ArrayRealVector(var56, var65);
    org.apache.commons.math.linear.ArrayRealVector var67 = new org.apache.commons.math.linear.ArrayRealVector(var51, var66);
    double var68 = var67.getL1Norm();
    org.apache.commons.math.linear.RealVector var69 = var39.mapDivideToSelf((double)var68);
    org.apache.commons.math.linear.RealVector var70 = var4.mapPowToSelf((double)var68);
    int var71 = var4.getMaxIndex();
    // The following exception was thrown during execution.
    // Exception class: class java.lang.NegativeArraySizeException with canonical name: java.lang.NegativeArraySizeException
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.ArrayRealVector var72 = new org.apache.commons.math.linear.ArrayRealVector(var71);
      fail("Expected exception of type java.lang.NegativeArraySizeException");
    } catch (java.lang.NegativeArraySizeException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var46 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var51 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var55 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var60 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var62 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var63 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var64 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var65 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var69 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var70 == null);

  }

  public void test136() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(100.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    double[] var14 = new double[] { var11, var12, var13};
    double var15 = var9.getL1Distance(var14);
    org.apache.commons.math.linear.RealVector var16 = var9.mapSignum();
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    java.lang.Double var23 = new java.lang.Double(0.0d);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    double[] var25 = new double[] { var22, var23, var24};
    org.apache.commons.math.linear.ArrayRealVector var26 = new org.apache.commons.math.linear.ArrayRealVector(var25);
    org.apache.commons.math.linear.RealVector var27 = var21.ebeDivide((org.apache.commons.math.linear.RealVector)var26);
    org.apache.commons.math.linear.ArrayRealVector var28 = var9.add(var21);
    org.apache.commons.math.linear.RealVector var29 = var21.mapTanhToSelf();
    java.lang.Double var30 = new java.lang.Double((-1.0d));
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    double[] var32 = new double[] { var30, var31};
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double(10.0d);
    java.lang.Double var35 = new java.lang.Double(100.0d);
    int var36 = org.apache.commons.math.util.MathUtils.compareTo((double)var33, (double)var34, (double)var35);
    org.apache.commons.math.optimization.linear.LinearObjectiveFunction var37 = new org.apache.commons.math.optimization.linear.LinearObjectiveFunction(var32, var34);
    org.apache.commons.math.linear.RealVector var38 = var21.mapAddToSelf((double)var34);
    double[] var39 = var21.getDataRef();
    org.apache.commons.math.linear.RealVector var40 = var21.mapExpm1ToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);

  }

  public void test137() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var9.mapAsinToSelf();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(0.0d);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var12, var13, var14};
    org.apache.commons.math.linear.ArrayRealVector var16 = new org.apache.commons.math.linear.ArrayRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    org.apache.commons.math.linear.RealVector var22 = var16.ebeDivide((org.apache.commons.math.linear.RealVector)var21);
    org.apache.commons.math.linear.RealVector var23 = var16.mapRintToSelf();
    org.apache.commons.math.linear.ArrayRealVector var24 = var9.ebeDivide(var16);
    org.apache.commons.math.linear.RealVector var25 = var9.mapLog1pToSelf();
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    java.lang.Double var27 = new java.lang.Double(10.0d);
    java.lang.Double var28 = new java.lang.Double(1.0d);
    java.lang.Double var29 = new java.lang.Double(1.0d);
    boolean var30 = org.apache.commons.math.util.MathUtils.equals((double)var28, (double)var29);
    int var31 = org.apache.commons.math.util.MathUtils.compareTo((double)var26, (double)var27, (double)var28);
    org.apache.commons.math.linear.RealVector var32 = var9.mapPow((double)var27);
    org.apache.commons.math.linear.RealVector var33 = var9.mapInvToSelf();
    double[] var34 = new double[] { };
    java.lang.Double var35 = new java.lang.Double(0.0d);
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    java.lang.Double var37 = new java.lang.Double(0.0d);
    double[] var38 = new double[] { var35, var36, var37};
    double var39 = org.apache.commons.math.util.MathUtils.distanceInf(var34, var38);
    java.lang.Double var40 = new java.lang.Double(0.0d);
    java.lang.Double var41 = new java.lang.Double((-1.0d));
    java.lang.Double var42 = new java.lang.Double((-1.0d));
    int var43 = org.apache.commons.math.util.MathUtils.compareTo((double)var40, (double)var41, (double)var42);
    org.apache.commons.math.complex.Complex var44 = org.apache.commons.math.complex.ComplexUtils.polar2Complex((double)var39, (double)var40);
    org.apache.commons.math.linear.RealVector var45 = var9.mapAdd((double)var39);
    java.lang.Double var46 = new java.lang.Double((-1.0d));
    java.lang.Double var47 = new java.lang.Double(0.0d);
    java.lang.Double var48 = new java.lang.Double((-1.0d));
    double[] var49 = new double[] { var46, var47, var48};
    org.apache.commons.math.linear.ArrayRealVector var50 = new org.apache.commons.math.linear.ArrayRealVector(var49);
    java.lang.Double var51 = new java.lang.Double((-1.0d));
    java.lang.Double var52 = new java.lang.Double(0.0d);
    java.lang.Double var53 = new java.lang.Double((-1.0d));
    double[] var54 = new double[] { var51, var52, var53};
    org.apache.commons.math.linear.ArrayRealVector var55 = new org.apache.commons.math.linear.ArrayRealVector(var54);
    org.apache.commons.math.linear.RealVector var56 = var50.ebeDivide((org.apache.commons.math.linear.RealVector)var55);
    org.apache.commons.math.linear.RealVector var57 = var55.mapAsinToSelf();
    java.lang.Double var58 = new java.lang.Double((-1.0d));
    java.lang.Double var59 = new java.lang.Double(0.0d);
    java.lang.Double var60 = new java.lang.Double((-1.0d));
    double[] var61 = new double[] { var58, var59, var60};
    org.apache.commons.math.linear.ArrayRealVector var62 = new org.apache.commons.math.linear.ArrayRealVector(var61);
    java.lang.Double var63 = new java.lang.Double((-1.0d));
    java.lang.Double var64 = new java.lang.Double(0.0d);
    java.lang.Double var65 = new java.lang.Double((-1.0d));
    double[] var66 = new double[] { var63, var64, var65};
    org.apache.commons.math.linear.ArrayRealVector var67 = new org.apache.commons.math.linear.ArrayRealVector(var66);
    org.apache.commons.math.linear.RealVector var68 = var62.ebeDivide((org.apache.commons.math.linear.RealVector)var67);
    org.apache.commons.math.linear.RealVector var69 = var62.mapRintToSelf();
    org.apache.commons.math.linear.ArrayRealVector var70 = var55.ebeDivide(var62);
    org.apache.commons.math.linear.RealVector var71 = var55.mapLog1pToSelf();
    org.apache.commons.math.linear.RealVector var72 = var55.mapCbrtToSelf();
    org.apache.commons.math.linear.RealVector var73 = var55.mapSinhToSelf();
    org.apache.commons.math.linear.RealVector var74 = var9.append((org.apache.commons.math.linear.RealVector)var55);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var45 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var49 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var54 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var56 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var57 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var61 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var66 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var68 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var69 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var70 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var71 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var72 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var73 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var74 == null);

  }

  public void test138() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp[] var9 = var8.getPiSplit();
    int var10 = var8.getRadixDigits();
    org.apache.commons.math.dfp.Dfp var11 = var8.getPi();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Integer var16 = new java.lang.Integer(0);
    java.lang.Long var17 = new java.lang.Long(100L);
    int var18 = org.apache.commons.math.util.MathUtils.pow((int)var16, (long)var17);
    int var19 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var15, (int)var16);
    org.apache.commons.math.dfp.DfpField var20 = new org.apache.commons.math.dfp.DfpField(var15);
    org.apache.commons.math.dfp.Dfp var21 = var20.getOne();
    org.apache.commons.math.dfp.Dfp var22 = var20.getOne();
    org.apache.commons.math.dfp.Dfp var23 = var20.getSqr2();
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    java.lang.Double var25 = new java.lang.Double(10.0d);
    java.lang.Double var26 = new java.lang.Double(100.0d);
    int var27 = org.apache.commons.math.util.MathUtils.compareTo((double)var24, (double)var25, (double)var26);
    java.lang.Integer var28 = new java.lang.Integer(0);
    java.lang.Long var29 = new java.lang.Long(100L);
    int var30 = org.apache.commons.math.util.MathUtils.pow((int)var28, (long)var29);
    int var31 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var27, (int)var28);
    org.apache.commons.math.dfp.DfpField var32 = new org.apache.commons.math.dfp.DfpField(var27);
    org.apache.commons.math.dfp.Dfp var33 = var32.getOne();
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    java.lang.Double var35 = new java.lang.Double(10.0d);
    java.lang.Double var36 = new java.lang.Double(100.0d);
    int var37 = org.apache.commons.math.util.MathUtils.compareTo((double)var34, (double)var35, (double)var36);
    java.lang.Integer var38 = new java.lang.Integer(0);
    java.lang.Long var39 = new java.lang.Long(100L);
    int var40 = org.apache.commons.math.util.MathUtils.pow((int)var38, (long)var39);
    int var41 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var37, (int)var38);
    org.apache.commons.math.dfp.DfpField var42 = new org.apache.commons.math.dfp.DfpField(var37);
    org.apache.commons.math.dfp.Dfp var43 = var42.getOne();
    org.apache.commons.math.dfp.Dfp var44 = var32.newDfp(var43);
    java.lang.Double var45 = new java.lang.Double((-1.0d));
    java.lang.Double var46 = new java.lang.Double(10.0d);
    java.lang.Double var47 = new java.lang.Double(100.0d);
    int var48 = org.apache.commons.math.util.MathUtils.compareTo((double)var45, (double)var46, (double)var47);
    java.lang.Integer var49 = new java.lang.Integer(0);
    java.lang.Long var50 = new java.lang.Long(100L);
    int var51 = org.apache.commons.math.util.MathUtils.pow((int)var49, (long)var50);
    int var52 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var48, (int)var49);
    org.apache.commons.math.dfp.DfpField var53 = new org.apache.commons.math.dfp.DfpField(var48);
    org.apache.commons.math.dfp.Dfp var54 = var53.getOne();
    boolean var55 = var43.greaterThan(var54);
    java.lang.Integer var56 = new java.lang.Integer(100);
    java.lang.Double var57 = new java.lang.Double((-1.0d));
    java.lang.Double var58 = new java.lang.Double(10.0d);
    java.lang.Double var59 = new java.lang.Double(100.0d);
    int var60 = org.apache.commons.math.util.MathUtils.compareTo((double)var57, (double)var58, (double)var59);
    int var61 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var56, (int)var60);
    org.apache.commons.math.dfp.Dfp var62 = org.apache.commons.math.dfp.DfpMath.pow(var54, (int)var61);
    org.apache.commons.math.dfp.Dfp var63 = var20.newDfp(var54);
    org.apache.commons.math.dfp.Dfp var64 = var20.getSqr2();
    org.apache.commons.math.dfp.Dfp var65 = var20.getSqr2Reciprocal();
    org.apache.commons.math.dfp.Dfp var66 = var8.newDfp(var65);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var43 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var54 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var62 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var63 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var64 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var65 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var66 == null);

  }

  public void test139() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    int var11 = var4.getMaxIndex();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    boolean var18 = org.apache.commons.math.util.MathUtils.equals((double)var16, (double)var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    boolean var23 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var14, (double)var17, (double)var21);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var24 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var11, var23);
    double[] var25 = var24.getStandardDeviation();
    int var26 = var24.getDimension();
    double[] var27 = var24.getMin();
    java.lang.Double var28 = new java.lang.Double(10.0d);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    double[] var30 = new double[] { var28, var29};
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.DimensionMismatchException with canonical name: org.apache.commons.math.DimensionMismatchException
    // This behavior will recorded for regression testing.
    try {
      var24.addValue(var30);
      fail("Expected exception of type org.apache.commons.math.DimensionMismatchException");
    } catch (org.apache.commons.math.DimensionMismatchException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);

  }

  public void test140() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var9.mapAsinToSelf();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(0.0d);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var12, var13, var14};
    org.apache.commons.math.linear.ArrayRealVector var16 = new org.apache.commons.math.linear.ArrayRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    org.apache.commons.math.linear.RealVector var22 = var16.ebeDivide((org.apache.commons.math.linear.RealVector)var21);
    org.apache.commons.math.linear.RealVector var23 = var16.mapRintToSelf();
    org.apache.commons.math.linear.ArrayRealVector var24 = var9.ebeDivide(var16);
    org.apache.commons.math.linear.RealVector var25 = var9.mapLog1pToSelf();
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    java.lang.Double var27 = new java.lang.Double(10.0d);
    java.lang.Double var28 = new java.lang.Double(1.0d);
    java.lang.Double var29 = new java.lang.Double(1.0d);
    boolean var30 = org.apache.commons.math.util.MathUtils.equals((double)var28, (double)var29);
    int var31 = org.apache.commons.math.util.MathUtils.compareTo((double)var26, (double)var27, (double)var28);
    org.apache.commons.math.linear.RealVector var32 = var9.mapPow((double)var27);
    org.apache.commons.math.linear.RealVector var33 = var9.mapSin();
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    java.lang.Double var35 = new java.lang.Double(0.0d);
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    double[] var37 = new double[] { var34, var35, var36};
    org.apache.commons.math.linear.ArrayRealVector var38 = new org.apache.commons.math.linear.ArrayRealVector(var37);
    java.lang.Double var39 = new java.lang.Double((-1.0d));
    java.lang.Double var40 = new java.lang.Double(0.0d);
    java.lang.Double var41 = new java.lang.Double((-1.0d));
    double[] var42 = new double[] { var39, var40, var41};
    org.apache.commons.math.linear.ArrayRealVector var43 = new org.apache.commons.math.linear.ArrayRealVector(var42);
    org.apache.commons.math.linear.RealVector var44 = var38.ebeDivide((org.apache.commons.math.linear.RealVector)var43);
    org.apache.commons.math.linear.RealVector var45 = var38.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var46 = var38.mapInvToSelf();
    double var47 = var9.getL1Distance(var46);
    org.apache.commons.math.linear.RealVector var48 = var9.mapInvToSelf();
    org.apache.commons.math.linear.RealVector var49 = var9.mapAtanToSelf();
    java.lang.Double var50 = new java.lang.Double((-1.0d));
    java.lang.Double var51 = new java.lang.Double(0.0d);
    java.lang.Double var52 = new java.lang.Double((-1.0d));
    double[] var53 = new double[] { var50, var51, var52};
    org.apache.commons.math.linear.ArrayRealVector var54 = new org.apache.commons.math.linear.ArrayRealVector(var53);
    java.lang.Double var55 = new java.lang.Double((-1.0d));
    java.lang.Double var56 = new java.lang.Double(0.0d);
    java.lang.Double var57 = new java.lang.Double((-1.0d));
    double[] var58 = new double[] { var55, var56, var57};
    org.apache.commons.math.linear.ArrayRealVector var59 = new org.apache.commons.math.linear.ArrayRealVector(var58);
    org.apache.commons.math.linear.RealVector var60 = var54.ebeDivide((org.apache.commons.math.linear.RealVector)var59);
    java.lang.Double var61 = new java.lang.Double(100.0d);
    java.lang.Double var62 = new java.lang.Double((-1.0d));
    java.lang.Double var63 = new java.lang.Double((-1.0d));
    double[] var64 = new double[] { var61, var62, var63};
    double var65 = var59.getL1Distance(var64);
    org.apache.commons.math.linear.RealVector var66 = var59.mapSignum();
    org.apache.commons.math.linear.ArrayRealVector var67 = new org.apache.commons.math.linear.ArrayRealVector(var9, var59);
    org.apache.commons.math.linear.RealVector var68 = var59.mapAcos();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var45 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var46 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var48 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var49 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var53 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var58 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var60 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var64 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var66 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var68 == null);

  }

  public void test141() throws Throwable {

    java.lang.Double var0 = new java.lang.Double(10.0d);
    java.lang.Double var1 = new java.lang.Double(100.0d);
    double[] var2 = new double[] { var0, var1};
    org.apache.commons.math.linear.ArrayRealVector var3 = new org.apache.commons.math.linear.ArrayRealVector(var2);
    boolean var4 = var3.isNaN();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);

  }

  public void test142() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var4.mapAtanToSelf();
    java.lang.Integer var12 = new java.lang.Integer(100);
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    java.lang.Double var14 = new java.lang.Double(10.0d);
    java.lang.Double var15 = new java.lang.Double(100.0d);
    int var16 = org.apache.commons.math.util.MathUtils.compareTo((double)var13, (double)var14, (double)var15);
    int var17 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var12, (int)var16);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    java.lang.Double var19 = new java.lang.Double(10.0d);
    java.lang.Double var20 = new java.lang.Double(100.0d);
    int var21 = org.apache.commons.math.util.MathUtils.compareTo((double)var18, (double)var19, (double)var20);
    int var22 = org.apache.commons.math.util.MathUtils.gcd((int)var16, (int)var21);
    int var23 = org.apache.commons.math.util.MathUtils.sign((int)var22);
    java.lang.Double var24 = new java.lang.Double(100.0d);
    java.lang.Double var25 = new java.lang.Double(10.0d);
    double[] var26 = new double[] { var24, var25};
    double var27 = org.apache.commons.math.util.MathUtils.safeNorm(var26);
    var4.setEntry((int)var23, (double)var27);
    org.apache.commons.math.linear.RealVector var29 = var4.mapLog1pToSelf();
    java.lang.Double var30 = new java.lang.Double((-1.0d));
    java.lang.Double var31 = new java.lang.Double(0.0d);
    java.lang.Double var32 = new java.lang.Double((-1.0d));
    double[] var33 = new double[] { var30, var31, var32};
    org.apache.commons.math.linear.ArrayRealVector var34 = new org.apache.commons.math.linear.ArrayRealVector(var33);
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    java.lang.Double var36 = new java.lang.Double(0.0d);
    java.lang.Double var37 = new java.lang.Double((-1.0d));
    double[] var38 = new double[] { var35, var36, var37};
    org.apache.commons.math.linear.ArrayRealVector var39 = new org.apache.commons.math.linear.ArrayRealVector(var38);
    org.apache.commons.math.linear.RealVector var40 = var34.ebeDivide((org.apache.commons.math.linear.RealVector)var39);
    org.apache.commons.math.linear.RealVector var41 = var39.mapAsinToSelf();
    java.lang.Double var42 = new java.lang.Double((-1.0d));
    java.lang.Double var43 = new java.lang.Double(0.0d);
    java.lang.Double var44 = new java.lang.Double((-1.0d));
    double[] var45 = new double[] { var42, var43, var44};
    org.apache.commons.math.linear.ArrayRealVector var46 = new org.apache.commons.math.linear.ArrayRealVector(var45);
    java.lang.Double var47 = new java.lang.Double((-1.0d));
    java.lang.Double var48 = new java.lang.Double(0.0d);
    java.lang.Double var49 = new java.lang.Double((-1.0d));
    double[] var50 = new double[] { var47, var48, var49};
    org.apache.commons.math.linear.ArrayRealVector var51 = new org.apache.commons.math.linear.ArrayRealVector(var50);
    org.apache.commons.math.linear.RealVector var52 = var46.ebeDivide((org.apache.commons.math.linear.RealVector)var51);
    org.apache.commons.math.linear.RealVector var53 = var46.mapRintToSelf();
    org.apache.commons.math.linear.ArrayRealVector var54 = var39.ebeDivide(var46);
    org.apache.commons.math.linear.RealVector var55 = var39.mapLog1pToSelf();
    org.apache.commons.math.linear.AbstractRealVector var56 = var39.copy();
    org.apache.commons.math.linear.RealVector var57 = var39.mapCbrtToSelf();
    org.apache.commons.math.linear.ArrayRealVector var58 = new org.apache.commons.math.linear.ArrayRealVector(var29, var39);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var45 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var50 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var52 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var53 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var54 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var55 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var56 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var57 == null);

  }

  public void test143() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    org.apache.commons.math.dfp.Dfp var10 = var8.getOne();
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(0.0d);
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    double[] var14 = new double[] { var11, var12, var13};
    org.apache.commons.math.linear.ArrayRealVector var15 = new org.apache.commons.math.linear.ArrayRealVector(var14);
    java.lang.Double var16 = new java.lang.Double((-1.0d));
    java.lang.Double var17 = new java.lang.Double(0.0d);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    double[] var19 = new double[] { var16, var17, var18};
    org.apache.commons.math.linear.ArrayRealVector var20 = new org.apache.commons.math.linear.ArrayRealVector(var19);
    org.apache.commons.math.linear.RealVector var21 = var15.ebeDivide((org.apache.commons.math.linear.RealVector)var20);
    int var22 = var15.getMaxIndex();
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    java.lang.Double var24 = new java.lang.Double(10.0d);
    java.lang.Double var25 = new java.lang.Double(100.0d);
    int var26 = org.apache.commons.math.util.MathUtils.compareTo((double)var23, (double)var24, (double)var25);
    java.lang.Double var27 = new java.lang.Double(1.0d);
    java.lang.Double var28 = new java.lang.Double(1.0d);
    boolean var29 = org.apache.commons.math.util.MathUtils.equals((double)var27, (double)var28);
    java.lang.Double var30 = new java.lang.Double((-1.0d));
    java.lang.Double var31 = new java.lang.Double(10.0d);
    java.lang.Double var32 = new java.lang.Double(100.0d);
    int var33 = org.apache.commons.math.util.MathUtils.compareTo((double)var30, (double)var31, (double)var32);
    boolean var34 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var25, (double)var28, (double)var32);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var35 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var22, var34);
    double[] var36 = var35.getStandardDeviation();
    int var37 = var35.getDimension();
    double var38 = org.apache.commons.math.util.MathUtils.factorialDouble((int)var37);
    org.apache.commons.math.dfp.Dfp var39 = var10.divide((int)var37);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);

  }

  public void test144() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    org.apache.commons.math.linear.RealVector var15 = var9.mapPowToSelf((double)var13);
    java.lang.Integer var16 = new java.lang.Integer(10);
    int var17 = org.apache.commons.math.util.MathUtils.indicator((int)var16);
    java.lang.Integer var18 = new java.lang.Integer(10);
    int var19 = org.apache.commons.math.util.MathUtils.indicator((int)var18);
    org.apache.commons.math.linear.RealVector var20 = var9.getSubVector((int)var17, (int)var19);
    double var21 = var9.getL1Norm();
    double[] var22 = var9.getDataRef();
    org.apache.commons.math.linear.RealVector var23 = var9.mapInvToSelf();
    org.apache.commons.math.linear.RealVector var24 = var9.mapLog1pToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);

  }

  public void test145() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var4.mapAtanToSelf();
    org.apache.commons.math.linear.ArrayRealVector var12 = new org.apache.commons.math.linear.ArrayRealVector(var4);
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var13 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var14 = var13.copy();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var15 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation(var13);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    java.lang.Double var17 = new java.lang.Double(0.0d);
    double[] var18 = new double[] { var16, var17};
    double[] var19 = new double[] { };
    java.lang.Double var20 = new java.lang.Double(0.0d);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(0.0d);
    double[] var23 = new double[] { var20, var21, var22};
    double var24 = org.apache.commons.math.util.MathUtils.distanceInf(var19, var23);
    double var25 = var15.evaluate(var18, (double)var24);
    org.apache.commons.math.linear.RealVector var26 = var12.mapSubtractToSelf((double)var25);
    org.apache.commons.math.linear.AbstractRealVector var27 = var12.copy();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);

  }

  public void test146() throws Throwable {

    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var0 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var1 = var0.copy();
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var2};
    org.apache.commons.math.linear.OpenMapRealVector var4 = new org.apache.commons.math.linear.OpenMapRealVector(var3);
    int var5 = var4.getDimension();
    java.lang.Double var6 = new java.lang.Double((-1.0d));
    java.lang.Double var7 = new java.lang.Double(0.0d);
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    double[] var9 = new double[] { var6, var7, var8};
    org.apache.commons.math.linear.ArrayRealVector var10 = new org.apache.commons.math.linear.ArrayRealVector(var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(0.0d);
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    double[] var14 = new double[] { var11, var12, var13};
    org.apache.commons.math.linear.ArrayRealVector var15 = new org.apache.commons.math.linear.ArrayRealVector(var14);
    org.apache.commons.math.linear.RealVector var16 = var10.ebeDivide((org.apache.commons.math.linear.RealVector)var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(10.0d);
    java.lang.Double var19 = new java.lang.Double(100.0d);
    int var20 = org.apache.commons.math.util.MathUtils.compareTo((double)var17, (double)var18, (double)var19);
    org.apache.commons.math.linear.RealVector var21 = var15.mapPowToSelf((double)var19);
    org.apache.commons.math.linear.ArrayRealVector var22 = new org.apache.commons.math.linear.ArrayRealVector(var5, var19);
    var1.increment((double)var19);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);

  }

  public void test147() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var9.mapAsinToSelf();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(0.0d);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var12, var13, var14};
    org.apache.commons.math.linear.ArrayRealVector var16 = new org.apache.commons.math.linear.ArrayRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    org.apache.commons.math.linear.RealVector var22 = var16.ebeDivide((org.apache.commons.math.linear.RealVector)var21);
    org.apache.commons.math.linear.RealVector var23 = var16.mapRintToSelf();
    org.apache.commons.math.linear.ArrayRealVector var24 = var9.ebeDivide(var16);
    org.apache.commons.math.linear.RealVector var25 = var9.mapLog1pToSelf();
    org.apache.commons.math.linear.RealVector var26 = var9.mapSinh();
    org.apache.commons.math.linear.RealVector var27 = var9.mapLogToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);

  }

  public void test148() throws Throwable {

    org.apache.commons.math.complex.ComplexField var0 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var1 = var0.getZero();
    double var2 = var1.getArgument();
    org.apache.commons.math.complex.Complex var3 = var1.exp();
    java.lang.Double var4 = new java.lang.Double(1.0d);
    java.lang.Double var5 = new java.lang.Double(1.0d);
    boolean var6 = org.apache.commons.math.util.MathUtils.equals((double)var4, (double)var5);
    boolean var7 = var1.equals((java.lang.Object)var5);
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    java.lang.Double var9 = new java.lang.Double(10.0d);
    java.lang.Double var10 = new java.lang.Double(100.0d);
    int var11 = org.apache.commons.math.util.MathUtils.compareTo((double)var8, (double)var9, (double)var10);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(0.0d);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var12, var13, var14};
    org.apache.commons.math.linear.ArrayRealVector var16 = new org.apache.commons.math.linear.ArrayRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    org.apache.commons.math.linear.RealVector var22 = var16.ebeDivide((org.apache.commons.math.linear.RealVector)var21);
    java.lang.Double var23 = new java.lang.Double(100.0d);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    java.lang.Double var25 = new java.lang.Double((-1.0d));
    double[] var26 = new double[] { var23, var24, var25};
    double var27 = var21.getL1Distance(var26);
    org.apache.commons.math.linear.RealVector var28 = var21.mapSignum();
    java.lang.String var29 = var21.toString();
    java.lang.Integer var30 = new java.lang.Integer(100);
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    java.lang.Double var32 = new java.lang.Double(10.0d);
    java.lang.Double var33 = new java.lang.Double(100.0d);
    int var34 = org.apache.commons.math.util.MathUtils.compareTo((double)var31, (double)var32, (double)var33);
    int var35 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var30, (int)var34);
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    java.lang.Double var37 = new java.lang.Double(10.0d);
    java.lang.Double var38 = new java.lang.Double(100.0d);
    int var39 = org.apache.commons.math.util.MathUtils.compareTo((double)var36, (double)var37, (double)var38);
    int var40 = org.apache.commons.math.util.MathUtils.gcd((int)var34, (int)var39);
    java.lang.Double var41 = new java.lang.Double((-1.0d));
    java.lang.Double var42 = new java.lang.Double(0.0d);
    java.lang.Double var43 = new java.lang.Double((-1.0d));
    double[] var44 = new double[] { var41, var42, var43};
    org.apache.commons.math.linear.ArrayRealVector var45 = new org.apache.commons.math.linear.ArrayRealVector(var44);
    java.lang.Double var46 = new java.lang.Double((-1.0d));
    java.lang.Double var47 = new java.lang.Double(0.0d);
    java.lang.Double var48 = new java.lang.Double((-1.0d));
    double[] var49 = new double[] { var46, var47, var48};
    org.apache.commons.math.linear.ArrayRealVector var50 = new org.apache.commons.math.linear.ArrayRealVector(var49);
    org.apache.commons.math.linear.RealVector var51 = var45.ebeDivide((org.apache.commons.math.linear.RealVector)var50);
    java.lang.Double var52 = new java.lang.Double((-1.0d));
    java.lang.Double var53 = new java.lang.Double(10.0d);
    java.lang.Double var54 = new java.lang.Double(100.0d);
    int var55 = org.apache.commons.math.util.MathUtils.compareTo((double)var52, (double)var53, (double)var54);
    java.lang.Double var56 = new java.lang.Double(1.0d);
    java.lang.Double var57 = new java.lang.Double(1.0d);
    boolean var58 = org.apache.commons.math.util.MathUtils.equals((double)var56, (double)var57);
    java.lang.Double var59 = new java.lang.Double((-1.0d));
    java.lang.Double var60 = new java.lang.Double(10.0d);
    java.lang.Double var61 = new java.lang.Double(100.0d);
    int var62 = org.apache.commons.math.util.MathUtils.compareTo((double)var59, (double)var60, (double)var61);
    boolean var63 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var54, (double)var57, (double)var61);
    org.apache.commons.math.linear.RealVector var64 = var45.append((double)var57);
    org.apache.commons.math.linear.RealVector var65 = var45.mapAcos();
    double[] var66 = var45.toArray();
    java.lang.Double var67 = new java.lang.Double(1.0d);
    java.lang.Double var68 = new java.lang.Double(1.0d);
    boolean var69 = org.apache.commons.math.util.MathUtils.equals((double)var67, (double)var68);
    java.lang.Double var70 = new java.lang.Double((-1.0d));
    java.lang.Double var71 = new java.lang.Double(10.0d);
    java.lang.Double var72 = new java.lang.Double(100.0d);
    int var73 = org.apache.commons.math.util.MathUtils.compareTo((double)var70, (double)var71, (double)var72);
    double var74 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var67, (double)var70);
    org.apache.commons.math.linear.RealVector var75 = var45.mapMultiplyToSelf((double)var74);
    org.apache.commons.math.linear.RealVector var76 = var45.mapSqrtToSelf();
    var21.set((int)var40, var45);
    double var78 = var21.getLInfNorm();
    boolean var79 = org.apache.commons.math.util.MathUtils.equals((double)var10, (double)var78);
    org.apache.commons.math.complex.Complex var80 = var1.multiply((double)var78);
    org.apache.commons.math.complex.ComplexField var81 = var1.getField();
    boolean var82 = var1.isInfinite();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var49 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var51 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var64 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var65 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var66 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var75 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var76 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var80 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var81 == null);

  }

  public void test149() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    org.apache.commons.math.linear.RealVector var15 = var9.mapPowToSelf((double)var13);
    java.lang.Integer var16 = new java.lang.Integer(10);
    int var17 = org.apache.commons.math.util.MathUtils.indicator((int)var16);
    java.lang.Integer var18 = new java.lang.Integer(10);
    int var19 = org.apache.commons.math.util.MathUtils.indicator((int)var18);
    org.apache.commons.math.linear.RealVector var20 = var9.getSubVector((int)var17, (int)var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(0.0d);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    double[] var24 = new double[] { var21, var22, var23};
    org.apache.commons.math.linear.ArrayRealVector var25 = new org.apache.commons.math.linear.ArrayRealVector(var24);
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    java.lang.Double var27 = new java.lang.Double(0.0d);
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    double[] var29 = new double[] { var26, var27, var28};
    org.apache.commons.math.linear.ArrayRealVector var30 = new org.apache.commons.math.linear.ArrayRealVector(var29);
    org.apache.commons.math.linear.RealVector var31 = var25.ebeDivide((org.apache.commons.math.linear.RealVector)var30);
    java.lang.Double var32 = new java.lang.Double(100.0d);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    double[] var35 = new double[] { var32, var33, var34};
    double var36 = var30.getL1Distance(var35);
    org.apache.commons.math.linear.RealVector var37 = var30.mapSignum();
    java.lang.Double var38 = new java.lang.Double(0.0d);
    java.lang.Double var39 = new java.lang.Double(100.0d);
    java.lang.Double var40 = new java.lang.Double(10.0d);
    double[] var41 = new double[] { var38, var39, var40};
    double var42 = var30.getDistance(var41);
    double var43 = var9.getDistance(var30);
    org.apache.commons.math.linear.RealVector var44 = var30.mapFloorToSelf();
    org.apache.commons.math.linear.RealVector var45 = var30.mapSqrtToSelf();
    org.apache.commons.math.linear.RealVector var46 = var30.mapAbsToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var45 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var46 == null);

  }

  public void test150() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    var2.unitize();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);

  }

  public void test151() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var4.mapAtanToSelf();
    java.lang.Integer var12 = new java.lang.Integer(100);
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    java.lang.Double var14 = new java.lang.Double(10.0d);
    java.lang.Double var15 = new java.lang.Double(100.0d);
    int var16 = org.apache.commons.math.util.MathUtils.compareTo((double)var13, (double)var14, (double)var15);
    int var17 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var12, (int)var16);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    java.lang.Double var19 = new java.lang.Double(10.0d);
    java.lang.Double var20 = new java.lang.Double(100.0d);
    int var21 = org.apache.commons.math.util.MathUtils.compareTo((double)var18, (double)var19, (double)var20);
    int var22 = org.apache.commons.math.util.MathUtils.gcd((int)var16, (int)var21);
    int var23 = org.apache.commons.math.util.MathUtils.sign((int)var22);
    java.lang.Double var24 = new java.lang.Double(100.0d);
    java.lang.Double var25 = new java.lang.Double(10.0d);
    double[] var26 = new double[] { var24, var25};
    double var27 = org.apache.commons.math.util.MathUtils.safeNorm(var26);
    var4.setEntry((int)var23, (double)var27);
    org.apache.commons.math.linear.RealVector var29 = var4.mapExpm1ToSelf();
    org.apache.commons.math.complex.ComplexField var30 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var31 = var30.getZero();
    org.apache.commons.math.complex.Complex var32 = var31.sqrt1z();
    org.apache.commons.math.complex.Complex var33 = var31.cosh();
    boolean var34 = var33.isNaN();
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    double[] var36 = new double[] { var35};
    org.apache.commons.math.linear.OpenMapRealVector var37 = new org.apache.commons.math.linear.OpenMapRealVector(var36);
    int var38 = var37.getDimension();
    java.lang.Double var39 = new java.lang.Double(0.0d);
    java.lang.Double var40 = new java.lang.Double(0.0d);
    double[] var41 = new double[] { var39, var40};
    org.apache.commons.math.linear.RealVector var42 = var37.add(var41);
    java.lang.Double var43 = new java.lang.Double((-1.0d));
    double[] var44 = new double[] { var43};
    org.apache.commons.math.linear.OpenMapRealVector var45 = new org.apache.commons.math.linear.OpenMapRealVector(var44);
    java.lang.Double var46 = new java.lang.Double((-1.0d));
    double[] var47 = new double[] { var46};
    org.apache.commons.math.linear.OpenMapRealVector var48 = new org.apache.commons.math.linear.OpenMapRealVector(var47);
    org.apache.commons.math.linear.OpenMapRealVector var49 = var45.add(var48);
    org.apache.commons.math.linear.OpenMapRealVector var50 = new org.apache.commons.math.linear.OpenMapRealVector(var49);
    boolean var51 = var50.isNaN();
    org.apache.commons.math.linear.RealVector var52 = var50.mapAcosToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var53 = var37.ebeMultiply(var52);
    int var54 = var37.getDimension();
    java.util.List var55 = var33.nthRoot((int)var54);
    java.lang.Double var56 = new java.lang.Double(100.0d);
    double[] var57 = new double[] { var56};
    var4.setSubVector((int)var54, var57);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var47 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var49 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var52 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var53 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var55 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var57 == null);

  }

  public void test152() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    java.lang.Double var11 = new java.lang.Double(10.0d);
    java.lang.Double var12 = new java.lang.Double(100.0d);
    int var13 = org.apache.commons.math.util.MathUtils.compareTo((double)var10, (double)var11, (double)var12);
    java.lang.Integer var14 = new java.lang.Integer(0);
    java.lang.Long var15 = new java.lang.Long(100L);
    int var16 = org.apache.commons.math.util.MathUtils.pow((int)var14, (long)var15);
    int var17 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var13, (int)var14);
    org.apache.commons.math.dfp.DfpField var18 = new org.apache.commons.math.dfp.DfpField(var13);
    org.apache.commons.math.dfp.Dfp var19 = var18.getOne();
    org.apache.commons.math.dfp.Dfp var20 = var8.newDfp(var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(10.0d);
    java.lang.Double var23 = new java.lang.Double(100.0d);
    int var24 = org.apache.commons.math.util.MathUtils.compareTo((double)var21, (double)var22, (double)var23);
    java.lang.Integer var25 = new java.lang.Integer(0);
    java.lang.Long var26 = new java.lang.Long(100L);
    int var27 = org.apache.commons.math.util.MathUtils.pow((int)var25, (long)var26);
    int var28 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var24, (int)var25);
    org.apache.commons.math.dfp.DfpField var29 = new org.apache.commons.math.dfp.DfpField(var24);
    org.apache.commons.math.dfp.Dfp var30 = var29.getOne();
    boolean var31 = var19.greaterThan(var30);
    java.lang.Byte var32 = new java.lang.Byte((byte)0);
    org.apache.commons.math.dfp.Dfp var33 = var30.newInstance((byte)var32);
    int var34 = var30.log10K();
    double var35 = org.apache.commons.math.util.MathUtils.factorialDouble((int)var34);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);

  }

  public void test153() throws Throwable {

    org.apache.commons.math.complex.ComplexField var0 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var1 = var0.getZero();
    org.apache.commons.math.complex.Complex var2 = var1.sqrt1z();
    org.apache.commons.math.complex.Complex var3 = var1.cosh();
    org.apache.commons.math.complex.Complex var4 = var3.sinh();
    double var5 = var3.getReal();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);

  }

  public void test154() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    java.lang.Double var11 = new java.lang.Double(10.0d);
    java.lang.Double var12 = new java.lang.Double(100.0d);
    int var13 = org.apache.commons.math.util.MathUtils.compareTo((double)var10, (double)var11, (double)var12);
    java.lang.Integer var14 = new java.lang.Integer(0);
    java.lang.Long var15 = new java.lang.Long(100L);
    int var16 = org.apache.commons.math.util.MathUtils.pow((int)var14, (long)var15);
    int var17 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var13, (int)var14);
    org.apache.commons.math.dfp.DfpField var18 = new org.apache.commons.math.dfp.DfpField(var13);
    org.apache.commons.math.dfp.Dfp var19 = var18.getOne();
    org.apache.commons.math.dfp.Dfp var20 = var8.newDfp(var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(10.0d);
    java.lang.Double var23 = new java.lang.Double(100.0d);
    int var24 = org.apache.commons.math.util.MathUtils.compareTo((double)var21, (double)var22, (double)var23);
    java.lang.Integer var25 = new java.lang.Integer(0);
    java.lang.Long var26 = new java.lang.Long(100L);
    int var27 = org.apache.commons.math.util.MathUtils.pow((int)var25, (long)var26);
    int var28 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var24, (int)var25);
    org.apache.commons.math.dfp.DfpField var29 = new org.apache.commons.math.dfp.DfpField(var24);
    org.apache.commons.math.dfp.Dfp var30 = var29.getOne();
    boolean var31 = var19.greaterThan(var30);
    java.lang.Integer var32 = new java.lang.Integer(100);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double(10.0d);
    java.lang.Double var35 = new java.lang.Double(100.0d);
    int var36 = org.apache.commons.math.util.MathUtils.compareTo((double)var33, (double)var34, (double)var35);
    int var37 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var32, (int)var36);
    org.apache.commons.math.dfp.Dfp var38 = org.apache.commons.math.dfp.DfpMath.pow(var30, (int)var37);
    java.lang.Double var39 = new java.lang.Double((-1.0d));
    double[] var40 = new double[] { var39};
    org.apache.commons.math.linear.OpenMapRealVector var41 = new org.apache.commons.math.linear.OpenMapRealVector(var40);
    int var42 = var41.getDimension();
    java.lang.Double var43 = new java.lang.Double((-1.0d));
    java.lang.Double var44 = new java.lang.Double(0.0d);
    java.lang.Double var45 = new java.lang.Double((-1.0d));
    double[] var46 = new double[] { var43, var44, var45};
    org.apache.commons.math.linear.ArrayRealVector var47 = new org.apache.commons.math.linear.ArrayRealVector(var46);
    java.lang.Double var48 = new java.lang.Double((-1.0d));
    java.lang.Double var49 = new java.lang.Double(0.0d);
    java.lang.Double var50 = new java.lang.Double((-1.0d));
    double[] var51 = new double[] { var48, var49, var50};
    org.apache.commons.math.linear.ArrayRealVector var52 = new org.apache.commons.math.linear.ArrayRealVector(var51);
    org.apache.commons.math.linear.RealVector var53 = var47.ebeDivide((org.apache.commons.math.linear.RealVector)var52);
    java.lang.Double var54 = new java.lang.Double((-1.0d));
    java.lang.Double var55 = new java.lang.Double(10.0d);
    java.lang.Double var56 = new java.lang.Double(100.0d);
    int var57 = org.apache.commons.math.util.MathUtils.compareTo((double)var54, (double)var55, (double)var56);
    org.apache.commons.math.linear.RealVector var58 = var52.mapPowToSelf((double)var56);
    org.apache.commons.math.linear.ArrayRealVector var59 = new org.apache.commons.math.linear.ArrayRealVector(var42, var56);
    org.apache.commons.math.linear.ArrayRealVector var60 = new org.apache.commons.math.linear.ArrayRealVector(var37, var56);
    int var61 = var60.getMaxIndex();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var46 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var51 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var53 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var58 == null);

  }

  public void test155() throws Throwable {

    java.lang.Double var0 = new java.lang.Double(100.0d);
    java.lang.Double var1 = new java.lang.Double(0.0d);
    double[] var2 = new double[] { var0, var1};
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    java.lang.Double var4 = new java.lang.Double(0.0d);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    double[] var6 = new double[] { var3, var4, var5};
    org.apache.commons.math.linear.ArrayRealVector var7 = new org.apache.commons.math.linear.ArrayRealVector(var6);
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    java.lang.Double var9 = new java.lang.Double(0.0d);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var8, var9, var10};
    org.apache.commons.math.linear.ArrayRealVector var12 = new org.apache.commons.math.linear.ArrayRealVector(var11);
    org.apache.commons.math.linear.RealVector var13 = var7.ebeDivide((org.apache.commons.math.linear.RealVector)var12);
    org.apache.commons.math.linear.RealVector var14 = var7.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var15 = var7.mapInvToSelf();
    double[] var16 = new double[] { };
    org.apache.commons.math.linear.ArrayRealVector var17 = new org.apache.commons.math.linear.ArrayRealVector(var7, var16);
    org.apache.commons.math.linear.ArrayRealVector var18 = new org.apache.commons.math.linear.ArrayRealVector(var2, var17);
    java.util.Iterator var19 = var17.iterator();
    org.apache.commons.math.linear.RealVector var20 = var17.mapSinhToSelf();
    org.apache.commons.math.linear.RealVector var21 = var17.mapLog();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);

  }

  public void test156() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    int var11 = var4.getMaxIndex();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    boolean var18 = org.apache.commons.math.util.MathUtils.equals((double)var16, (double)var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    boolean var23 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var14, (double)var17, (double)var21);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var24 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var11, var23);
    java.lang.String var25 = var24.toString();
    var24.clear();
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var27 = var24.getMinImpl();
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var28 = var24.getMeanImpl();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var29 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var30 = var29.copy();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var31 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation(var29);
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var32 = new org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] { var29};
    var24.setSumLogImpl(var32);
    double[] var34 = var24.getSumSq();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);

  }

  public void test157() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    org.apache.commons.math.dfp.Dfp var10 = var8.getOne();
    org.apache.commons.math.dfp.Dfp var11 = var8.getSqr2();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Integer var16 = new java.lang.Integer(0);
    java.lang.Long var17 = new java.lang.Long(100L);
    int var18 = org.apache.commons.math.util.MathUtils.pow((int)var16, (long)var17);
    int var19 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var15, (int)var16);
    org.apache.commons.math.dfp.DfpField var20 = new org.apache.commons.math.dfp.DfpField(var15);
    org.apache.commons.math.dfp.Dfp var21 = var20.getOne();
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    java.lang.Double var23 = new java.lang.Double(10.0d);
    java.lang.Double var24 = new java.lang.Double(100.0d);
    int var25 = org.apache.commons.math.util.MathUtils.compareTo((double)var22, (double)var23, (double)var24);
    java.lang.Integer var26 = new java.lang.Integer(0);
    java.lang.Long var27 = new java.lang.Long(100L);
    int var28 = org.apache.commons.math.util.MathUtils.pow((int)var26, (long)var27);
    int var29 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var25, (int)var26);
    org.apache.commons.math.dfp.DfpField var30 = new org.apache.commons.math.dfp.DfpField(var25);
    org.apache.commons.math.dfp.Dfp var31 = var30.getOne();
    org.apache.commons.math.dfp.Dfp var32 = var20.newDfp(var31);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double(10.0d);
    java.lang.Double var35 = new java.lang.Double(100.0d);
    int var36 = org.apache.commons.math.util.MathUtils.compareTo((double)var33, (double)var34, (double)var35);
    java.lang.Integer var37 = new java.lang.Integer(0);
    java.lang.Long var38 = new java.lang.Long(100L);
    int var39 = org.apache.commons.math.util.MathUtils.pow((int)var37, (long)var38);
    int var40 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var36, (int)var37);
    org.apache.commons.math.dfp.DfpField var41 = new org.apache.commons.math.dfp.DfpField(var36);
    org.apache.commons.math.dfp.Dfp var42 = var41.getOne();
    boolean var43 = var31.greaterThan(var42);
    java.lang.Integer var44 = new java.lang.Integer(100);
    java.lang.Double var45 = new java.lang.Double((-1.0d));
    java.lang.Double var46 = new java.lang.Double(10.0d);
    java.lang.Double var47 = new java.lang.Double(100.0d);
    int var48 = org.apache.commons.math.util.MathUtils.compareTo((double)var45, (double)var46, (double)var47);
    int var49 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var44, (int)var48);
    org.apache.commons.math.dfp.Dfp var50 = org.apache.commons.math.dfp.DfpMath.pow(var42, (int)var49);
    org.apache.commons.math.dfp.Dfp var51 = var8.newDfp(var42);
    org.apache.commons.math.dfp.Dfp var52 = org.apache.commons.math.dfp.DfpMath.tan(var42);
    org.apache.commons.math.dfp.Dfp var53 = org.apache.commons.math.dfp.DfpMath.atan(var42);
    java.lang.Double var54 = new java.lang.Double((-1.0d));
    java.lang.Double var55 = new java.lang.Double(10.0d);
    java.lang.Double var56 = new java.lang.Double(100.0d);
    int var57 = org.apache.commons.math.util.MathUtils.compareTo((double)var54, (double)var55, (double)var56);
    java.lang.Integer var58 = new java.lang.Integer(0);
    java.lang.Long var59 = new java.lang.Long(100L);
    int var60 = org.apache.commons.math.util.MathUtils.pow((int)var58, (long)var59);
    int var61 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var57, (int)var58);
    org.apache.commons.math.dfp.DfpField var62 = new org.apache.commons.math.dfp.DfpField(var57);
    org.apache.commons.math.dfp.Dfp var63 = var62.getOne();
    java.lang.Double var64 = new java.lang.Double((-1.0d));
    java.lang.Double var65 = new java.lang.Double(10.0d);
    java.lang.Double var66 = new java.lang.Double(100.0d);
    int var67 = org.apache.commons.math.util.MathUtils.compareTo((double)var64, (double)var65, (double)var66);
    java.lang.Integer var68 = new java.lang.Integer(0);
    java.lang.Long var69 = new java.lang.Long(100L);
    int var70 = org.apache.commons.math.util.MathUtils.pow((int)var68, (long)var69);
    int var71 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var67, (int)var68);
    org.apache.commons.math.dfp.DfpField var72 = new org.apache.commons.math.dfp.DfpField(var67);
    org.apache.commons.math.dfp.Dfp var73 = var72.getOne();
    org.apache.commons.math.dfp.Dfp var74 = var62.newDfp(var73);
    java.lang.Double var75 = new java.lang.Double((-1.0d));
    java.lang.Double var76 = new java.lang.Double(10.0d);
    java.lang.Double var77 = new java.lang.Double(100.0d);
    int var78 = org.apache.commons.math.util.MathUtils.compareTo((double)var75, (double)var76, (double)var77);
    java.lang.Integer var79 = new java.lang.Integer(0);
    java.lang.Long var80 = new java.lang.Long(100L);
    int var81 = org.apache.commons.math.util.MathUtils.pow((int)var79, (long)var80);
    int var82 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var78, (int)var79);
    org.apache.commons.math.dfp.DfpField var83 = new org.apache.commons.math.dfp.DfpField(var78);
    org.apache.commons.math.dfp.Dfp var84 = var83.getOne();
    boolean var85 = var73.greaterThan(var84);
    org.apache.commons.math.dfp.Dfp var86 = var42.remainder(var73);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var50 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var51 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var52 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var53 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var63 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var73 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var74 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var84 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var86 == null);

  }

  public void test158() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    int var10 = var9.log10K();
    java.lang.Integer var11 = new java.lang.Integer(100);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    int var16 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var11, (int)var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(10.0d);
    java.lang.Double var19 = new java.lang.Double(100.0d);
    int var20 = org.apache.commons.math.util.MathUtils.compareTo((double)var17, (double)var18, (double)var19);
    int var21 = org.apache.commons.math.util.MathUtils.gcd((int)var15, (int)var20);
    org.apache.commons.math.dfp.Dfp var22 = var9.power10K((int)var15);
    java.lang.Integer var23 = new java.lang.Integer(100);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    java.lang.Double var25 = new java.lang.Double(10.0d);
    java.lang.Double var26 = new java.lang.Double(100.0d);
    int var27 = org.apache.commons.math.util.MathUtils.compareTo((double)var24, (double)var25, (double)var26);
    int var28 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var23, (int)var27);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double(10.0d);
    java.lang.Double var31 = new java.lang.Double(100.0d);
    int var32 = org.apache.commons.math.util.MathUtils.compareTo((double)var29, (double)var30, (double)var31);
    int var33 = org.apache.commons.math.util.MathUtils.gcd((int)var27, (int)var32);
    org.apache.commons.math.dfp.Dfp var34 = var9.power10((int)var32);
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    java.lang.Double var36 = new java.lang.Double(10.0d);
    java.lang.Double var37 = new java.lang.Double(100.0d);
    int var38 = org.apache.commons.math.util.MathUtils.compareTo((double)var35, (double)var36, (double)var37);
    java.lang.Integer var39 = new java.lang.Integer(0);
    java.lang.Long var40 = new java.lang.Long(100L);
    int var41 = org.apache.commons.math.util.MathUtils.pow((int)var39, (long)var40);
    int var42 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var38, (int)var39);
    org.apache.commons.math.dfp.DfpField var43 = new org.apache.commons.math.dfp.DfpField(var38);
    org.apache.commons.math.dfp.Dfp var44 = var43.getOne();
    java.lang.Double var45 = new java.lang.Double((-1.0d));
    java.lang.Double var46 = new java.lang.Double(10.0d);
    java.lang.Double var47 = new java.lang.Double(100.0d);
    int var48 = org.apache.commons.math.util.MathUtils.compareTo((double)var45, (double)var46, (double)var47);
    java.lang.Integer var49 = new java.lang.Integer(0);
    java.lang.Long var50 = new java.lang.Long(100L);
    int var51 = org.apache.commons.math.util.MathUtils.pow((int)var49, (long)var50);
    int var52 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var48, (int)var49);
    org.apache.commons.math.dfp.DfpField var53 = new org.apache.commons.math.dfp.DfpField(var48);
    org.apache.commons.math.dfp.Dfp var54 = var53.getOne();
    java.lang.Double var55 = new java.lang.Double((-1.0d));
    java.lang.Double var56 = new java.lang.Double(10.0d);
    java.lang.Double var57 = new java.lang.Double(100.0d);
    int var58 = org.apache.commons.math.util.MathUtils.compareTo((double)var55, (double)var56, (double)var57);
    java.lang.Integer var59 = new java.lang.Integer(0);
    java.lang.Long var60 = new java.lang.Long(100L);
    int var61 = org.apache.commons.math.util.MathUtils.pow((int)var59, (long)var60);
    int var62 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var58, (int)var59);
    org.apache.commons.math.dfp.DfpField var63 = new org.apache.commons.math.dfp.DfpField(var58);
    org.apache.commons.math.dfp.Dfp var64 = var63.getOne();
    org.apache.commons.math.dfp.Dfp var65 = var53.newDfp(var64);
    java.lang.Double var66 = new java.lang.Double((-1.0d));
    java.lang.Double var67 = new java.lang.Double(10.0d);
    java.lang.Double var68 = new java.lang.Double(100.0d);
    int var69 = org.apache.commons.math.util.MathUtils.compareTo((double)var66, (double)var67, (double)var68);
    java.lang.Integer var70 = new java.lang.Integer(0);
    java.lang.Long var71 = new java.lang.Long(100L);
    int var72 = org.apache.commons.math.util.MathUtils.pow((int)var70, (long)var71);
    int var73 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var69, (int)var70);
    org.apache.commons.math.dfp.DfpField var74 = new org.apache.commons.math.dfp.DfpField(var69);
    org.apache.commons.math.dfp.Dfp var75 = var74.getOne();
    boolean var76 = var64.greaterThan(var75);
    org.apache.commons.math.dfp.Dfp var77 = var44.remainder(var75);
    org.apache.commons.math.dfp.Dfp var78 = var34.multiply(var75);
    java.lang.String var79 = var75.toString();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var54 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var64 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var65 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var75 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var77 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var78 == null);

  }

  public void test159() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    int var10 = var8.getRadixDigits();
    var8.clearIEEEFlags();
    org.apache.commons.math.dfp.Dfp var12 = var8.getSqr3Reciprocal();
    org.apache.commons.math.dfp.Dfp var13 = org.apache.commons.math.dfp.DfpMath.log(var12);
    org.apache.commons.math.dfp.Dfp var14 = var12.rint();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);

  }

  public void test160() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    java.lang.Double var11 = new java.lang.Double(10.0d);
    java.lang.Double var12 = new java.lang.Double(100.0d);
    int var13 = org.apache.commons.math.util.MathUtils.compareTo((double)var10, (double)var11, (double)var12);
    java.lang.Integer var14 = new java.lang.Integer(0);
    java.lang.Long var15 = new java.lang.Long(100L);
    int var16 = org.apache.commons.math.util.MathUtils.pow((int)var14, (long)var15);
    int var17 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var13, (int)var14);
    org.apache.commons.math.dfp.DfpField var18 = new org.apache.commons.math.dfp.DfpField(var13);
    org.apache.commons.math.dfp.Dfp var19 = var18.getOne();
    java.lang.Double var20 = new java.lang.Double((-1.0d));
    java.lang.Double var21 = new java.lang.Double(10.0d);
    java.lang.Double var22 = new java.lang.Double(100.0d);
    int var23 = org.apache.commons.math.util.MathUtils.compareTo((double)var20, (double)var21, (double)var22);
    java.lang.Integer var24 = new java.lang.Integer(0);
    java.lang.Long var25 = new java.lang.Long(100L);
    int var26 = org.apache.commons.math.util.MathUtils.pow((int)var24, (long)var25);
    int var27 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var23, (int)var24);
    org.apache.commons.math.dfp.DfpField var28 = new org.apache.commons.math.dfp.DfpField(var23);
    org.apache.commons.math.dfp.Dfp var29 = var28.getOne();
    org.apache.commons.math.dfp.Dfp var30 = var18.newDfp(var29);
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    java.lang.Double var32 = new java.lang.Double(10.0d);
    java.lang.Double var33 = new java.lang.Double(100.0d);
    int var34 = org.apache.commons.math.util.MathUtils.compareTo((double)var31, (double)var32, (double)var33);
    java.lang.Integer var35 = new java.lang.Integer(0);
    java.lang.Long var36 = new java.lang.Long(100L);
    int var37 = org.apache.commons.math.util.MathUtils.pow((int)var35, (long)var36);
    int var38 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var34, (int)var35);
    org.apache.commons.math.dfp.DfpField var39 = new org.apache.commons.math.dfp.DfpField(var34);
    org.apache.commons.math.dfp.Dfp var40 = var39.getOne();
    boolean var41 = var29.greaterThan(var40);
    org.apache.commons.math.dfp.Dfp var42 = var9.remainder(var40);
    org.apache.commons.math.dfp.Dfp var43 = new org.apache.commons.math.dfp.Dfp(var42);
    org.apache.commons.math.dfp.Dfp var44 = var43.sqrt();
    org.apache.commons.math.dfp.Dfp var45 = var44.newInstance();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var45 == null);

  }

  public void test161() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    java.lang.Integer var10 = new java.lang.Integer(10);
    java.lang.Integer var11 = new java.lang.Integer(10);
    double var12 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var10, (int)var11);
    java.lang.Integer var13 = new java.lang.Integer(0);
    java.lang.Long var14 = new java.lang.Long(100L);
    int var15 = org.apache.commons.math.util.MathUtils.pow((int)var13, (long)var14);
    double var16 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var11, (int)var13);
    org.apache.commons.math.dfp.Dfp var17 = var8.newDfp((int)var13);
    java.lang.Byte var18 = new java.lang.Byte((byte)(-1));
    byte var19 = org.apache.commons.math.util.MathUtils.indicator((byte)var18);
    byte var20 = org.apache.commons.math.util.MathUtils.sign((byte)var18);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(10.0d);
    java.lang.Double var23 = new java.lang.Double(100.0d);
    int var24 = org.apache.commons.math.util.MathUtils.compareTo((double)var21, (double)var22, (double)var23);
    java.lang.Integer var25 = new java.lang.Integer(0);
    java.lang.Long var26 = new java.lang.Long(100L);
    int var27 = org.apache.commons.math.util.MathUtils.pow((int)var25, (long)var26);
    int var28 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var24, (int)var25);
    org.apache.commons.math.dfp.DfpField var29 = new org.apache.commons.math.dfp.DfpField(var24);
    org.apache.commons.math.dfp.Dfp var30 = var29.getOne();
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    java.lang.Double var32 = new java.lang.Double(10.0d);
    java.lang.Double var33 = new java.lang.Double(100.0d);
    int var34 = org.apache.commons.math.util.MathUtils.compareTo((double)var31, (double)var32, (double)var33);
    java.lang.Integer var35 = new java.lang.Integer(0);
    java.lang.Long var36 = new java.lang.Long(100L);
    int var37 = org.apache.commons.math.util.MathUtils.pow((int)var35, (long)var36);
    int var38 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var34, (int)var35);
    org.apache.commons.math.dfp.DfpField var39 = new org.apache.commons.math.dfp.DfpField(var34);
    org.apache.commons.math.dfp.Dfp var40 = var39.getOne();
    java.lang.Double var41 = new java.lang.Double((-1.0d));
    java.lang.Double var42 = new java.lang.Double(10.0d);
    java.lang.Double var43 = new java.lang.Double(100.0d);
    int var44 = org.apache.commons.math.util.MathUtils.compareTo((double)var41, (double)var42, (double)var43);
    java.lang.Integer var45 = new java.lang.Integer(0);
    java.lang.Long var46 = new java.lang.Long(100L);
    int var47 = org.apache.commons.math.util.MathUtils.pow((int)var45, (long)var46);
    int var48 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var44, (int)var45);
    org.apache.commons.math.dfp.DfpField var49 = new org.apache.commons.math.dfp.DfpField(var44);
    org.apache.commons.math.dfp.Dfp var50 = var49.getOne();
    org.apache.commons.math.dfp.Dfp var51 = var39.newDfp(var50);
    java.lang.Double var52 = new java.lang.Double((-1.0d));
    java.lang.Double var53 = new java.lang.Double(10.0d);
    java.lang.Double var54 = new java.lang.Double(100.0d);
    int var55 = org.apache.commons.math.util.MathUtils.compareTo((double)var52, (double)var53, (double)var54);
    java.lang.Integer var56 = new java.lang.Integer(0);
    java.lang.Long var57 = new java.lang.Long(100L);
    int var58 = org.apache.commons.math.util.MathUtils.pow((int)var56, (long)var57);
    int var59 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var55, (int)var56);
    org.apache.commons.math.dfp.DfpField var60 = new org.apache.commons.math.dfp.DfpField(var55);
    org.apache.commons.math.dfp.Dfp var61 = var60.getOne();
    boolean var62 = var50.greaterThan(var61);
    org.apache.commons.math.dfp.Dfp var63 = var30.remainder(var61);
    java.lang.Byte var64 = new java.lang.Byte((byte)10);
    byte var65 = org.apache.commons.math.util.MathUtils.sign((byte)var64);
    org.apache.commons.math.dfp.Dfp var66 = var30.newInstance((byte)var65);
    org.apache.commons.math.dfp.Dfp var67 = var8.newDfp((byte)var18, (byte)var65);
    org.apache.commons.math.dfp.Dfp var68 = var8.getZero();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var50 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var51 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var61 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var63 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var66 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var67 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var68 == null);

  }

  public void test162() throws Throwable {

    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var0 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var1 = var0.copy();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var2 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation(var0);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    java.lang.Double var4 = new java.lang.Double(1.0d);
    java.lang.Double var5 = new java.lang.Double(1.0d);
    double[] var6 = new double[] { var3, var4, var5};
    java.lang.Integer var7 = new java.lang.Integer(10);
    int var8 = org.apache.commons.math.util.MathUtils.indicator((int)var7);
    java.lang.Integer var9 = new java.lang.Integer(100);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    java.lang.Double var11 = new java.lang.Double(10.0d);
    java.lang.Double var12 = new java.lang.Double(100.0d);
    int var13 = org.apache.commons.math.util.MathUtils.compareTo((double)var10, (double)var11, (double)var12);
    int var14 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var9, (int)var13);
    java.lang.Integer var15 = new java.lang.Integer(100);
    java.lang.Double var16 = new java.lang.Double((-1.0d));
    java.lang.Double var17 = new java.lang.Double(10.0d);
    java.lang.Double var18 = new java.lang.Double(100.0d);
    int var19 = org.apache.commons.math.util.MathUtils.compareTo((double)var16, (double)var17, (double)var18);
    int var20 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var15, (int)var19);
    int var21 = org.apache.commons.math.util.MathUtils.lcm((int)var13, (int)var20);
    var0.setData(var6, (int)var8, (int)var21);
    java.lang.Double var23 = new java.lang.Double(1.0d);
    double[] var24 = new double[] { var23};
    java.lang.Double var25 = new java.lang.Double((-1.0d));
    java.lang.Double var26 = new java.lang.Double(10.0d);
    java.lang.Double var27 = new java.lang.Double(100.0d);
    int var28 = org.apache.commons.math.util.MathUtils.compareTo((double)var25, (double)var26, (double)var27);
    java.lang.Integer var29 = new java.lang.Integer(0);
    java.lang.Long var30 = new java.lang.Long(100L);
    int var31 = org.apache.commons.math.util.MathUtils.pow((int)var29, (long)var30);
    int var32 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var28, (int)var29);
    org.apache.commons.math.dfp.DfpField var33 = new org.apache.commons.math.dfp.DfpField(var28);
    org.apache.commons.math.dfp.Dfp var34 = var33.getOne();
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    java.lang.Double var36 = new java.lang.Double(10.0d);
    java.lang.Double var37 = new java.lang.Double(100.0d);
    int var38 = org.apache.commons.math.util.MathUtils.compareTo((double)var35, (double)var36, (double)var37);
    java.lang.Integer var39 = new java.lang.Integer(0);
    java.lang.Long var40 = new java.lang.Long(100L);
    int var41 = org.apache.commons.math.util.MathUtils.pow((int)var39, (long)var40);
    int var42 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var38, (int)var39);
    org.apache.commons.math.dfp.DfpField var43 = new org.apache.commons.math.dfp.DfpField(var38);
    org.apache.commons.math.dfp.Dfp var44 = var43.getOne();
    org.apache.commons.math.dfp.Dfp var45 = var33.newDfp(var44);
    java.lang.Double var46 = new java.lang.Double((-1.0d));
    java.lang.Double var47 = new java.lang.Double(10.0d);
    java.lang.Double var48 = new java.lang.Double(100.0d);
    int var49 = org.apache.commons.math.util.MathUtils.compareTo((double)var46, (double)var47, (double)var48);
    java.lang.Integer var50 = new java.lang.Integer(0);
    java.lang.Long var51 = new java.lang.Long(100L);
    int var52 = org.apache.commons.math.util.MathUtils.pow((int)var50, (long)var51);
    int var53 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var49, (int)var50);
    org.apache.commons.math.dfp.DfpField var54 = new org.apache.commons.math.dfp.DfpField(var49);
    org.apache.commons.math.dfp.Dfp var55 = var54.getOne();
    boolean var56 = var44.greaterThan(var55);
    java.lang.Integer var57 = new java.lang.Integer(100);
    java.lang.Double var58 = new java.lang.Double((-1.0d));
    java.lang.Double var59 = new java.lang.Double(10.0d);
    java.lang.Double var60 = new java.lang.Double(100.0d);
    int var61 = org.apache.commons.math.util.MathUtils.compareTo((double)var58, (double)var59, (double)var60);
    int var62 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var57, (int)var61);
    org.apache.commons.math.dfp.Dfp var63 = org.apache.commons.math.dfp.DfpMath.pow(var55, (int)var62);
    double var64 = org.apache.commons.math.util.MathUtils.factorialDouble((int)var62);
    java.lang.Double var65 = new java.lang.Double((-1.0d));
    java.lang.Double var66 = new java.lang.Double(0.0d);
    java.lang.Double var67 = new java.lang.Double((-1.0d));
    double[] var68 = new double[] { var65, var66, var67};
    org.apache.commons.math.linear.ArrayRealVector var69 = new org.apache.commons.math.linear.ArrayRealVector(var68);
    java.lang.Double var70 = new java.lang.Double((-1.0d));
    java.lang.Double var71 = new java.lang.Double(0.0d);
    java.lang.Double var72 = new java.lang.Double((-1.0d));
    double[] var73 = new double[] { var70, var71, var72};
    org.apache.commons.math.linear.ArrayRealVector var74 = new org.apache.commons.math.linear.ArrayRealVector(var73);
    org.apache.commons.math.linear.RealVector var75 = var69.ebeDivide((org.apache.commons.math.linear.RealVector)var74);
    int var76 = var69.getMaxIndex();
    java.lang.Double var77 = new java.lang.Double((-1.0d));
    java.lang.Double var78 = new java.lang.Double(10.0d);
    java.lang.Double var79 = new java.lang.Double(100.0d);
    int var80 = org.apache.commons.math.util.MathUtils.compareTo((double)var77, (double)var78, (double)var79);
    java.lang.Double var81 = new java.lang.Double(1.0d);
    java.lang.Double var82 = new java.lang.Double(1.0d);
    boolean var83 = org.apache.commons.math.util.MathUtils.equals((double)var81, (double)var82);
    java.lang.Double var84 = new java.lang.Double((-1.0d));
    java.lang.Double var85 = new java.lang.Double(10.0d);
    java.lang.Double var86 = new java.lang.Double(100.0d);
    int var87 = org.apache.commons.math.util.MathUtils.compareTo((double)var84, (double)var85, (double)var86);
    boolean var88 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var79, (double)var82, (double)var86);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var89 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var76, var88);
    double[] var90 = var89.getStandardDeviation();
    int var91 = var89.getDimension();
    double var92 = org.apache.commons.math.util.MathUtils.factorialDouble((int)var91);
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      double var93 = var0.evaluate(var24, (int)var62, (int)var91);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var45 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var55 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var63 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var68 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var73 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var75 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var90 == null);

  }

  public void test163() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    org.apache.commons.math.linear.OpenMapRealVector var7 = new org.apache.commons.math.linear.OpenMapRealVector(var6);
    boolean var8 = var7.isNaN();
    java.lang.Double var9 = new java.lang.Double((-1.0d));
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var9, var10};
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    org.apache.commons.math.optimization.linear.LinearObjectiveFunction var16 = new org.apache.commons.math.optimization.linear.LinearObjectiveFunction(var11, var13);
    org.apache.commons.math.linear.RealVector var17 = var7.mapDivideToSelf((double)var13);
    org.apache.commons.math.linear.RealVector var18 = var7.mapAcosToSelf();
    org.apache.commons.math.linear.RealVector var19 = var7.mapFloorToSelf();
    org.apache.commons.math.linear.RealVector var20 = var7.mapSignumToSelf();
    org.apache.commons.math.linear.RealVector var21 = var7.mapAsin();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);

  }

  public void test164() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    int var11 = var4.getMaxIndex();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    boolean var18 = org.apache.commons.math.util.MathUtils.equals((double)var16, (double)var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    boolean var23 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var14, (double)var17, (double)var21);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var24 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var11, var23);
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic var25 = null;
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var26 = new org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] { var25};
    var24.setSumsqImpl(var26);
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    java.lang.Double var29 = new java.lang.Double(0.0d);
    java.lang.Double var30 = new java.lang.Double((-1.0d));
    double[] var31 = new double[] { var28, var29, var30};
    org.apache.commons.math.linear.ArrayRealVector var32 = new org.apache.commons.math.linear.ArrayRealVector(var31);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double(0.0d);
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    double[] var36 = new double[] { var33, var34, var35};
    org.apache.commons.math.linear.ArrayRealVector var37 = new org.apache.commons.math.linear.ArrayRealVector(var36);
    org.apache.commons.math.linear.RealVector var38 = var32.ebeDivide((org.apache.commons.math.linear.RealVector)var37);
    int var39 = var32.getMaxIndex();
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    java.lang.Double var41 = new java.lang.Double(10.0d);
    java.lang.Double var42 = new java.lang.Double(100.0d);
    int var43 = org.apache.commons.math.util.MathUtils.compareTo((double)var40, (double)var41, (double)var42);
    java.lang.Double var44 = new java.lang.Double(1.0d);
    java.lang.Double var45 = new java.lang.Double(1.0d);
    boolean var46 = org.apache.commons.math.util.MathUtils.equals((double)var44, (double)var45);
    java.lang.Double var47 = new java.lang.Double((-1.0d));
    java.lang.Double var48 = new java.lang.Double(10.0d);
    java.lang.Double var49 = new java.lang.Double(100.0d);
    int var50 = org.apache.commons.math.util.MathUtils.compareTo((double)var47, (double)var48, (double)var49);
    boolean var51 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var42, (double)var45, (double)var49);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var52 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var39, var51);
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var53 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation(var51);
    java.lang.Double var54 = new java.lang.Double((-1.0d));
    double[] var55 = new double[] { var54};
    var53.incrementAll(var55);
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var57 = new org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] { var53};
    var24.setGeoMeanImpl(var57);
    double[] var59 = var24.getMin();
    org.apache.commons.math.linear.RealMatrix var60 = var24.getCovariance();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var55 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var57 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var59 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var60 == null);

  }

  public void test165() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var7};
    org.apache.commons.math.linear.OpenMapRealVector var9 = new org.apache.commons.math.linear.OpenMapRealVector(var8);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var10};
    org.apache.commons.math.linear.OpenMapRealVector var12 = new org.apache.commons.math.linear.OpenMapRealVector(var11);
    org.apache.commons.math.linear.OpenMapRealVector var13 = var9.add(var12);
    double var14 = var5.dotProduct(var12);
    java.lang.Double var15 = new java.lang.Double(1.0d);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    boolean var17 = org.apache.commons.math.util.MathUtils.equals((double)var15, (double)var16);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    java.lang.Double var19 = new java.lang.Double(10.0d);
    java.lang.Double var20 = new java.lang.Double(100.0d);
    int var21 = org.apache.commons.math.util.MathUtils.compareTo((double)var18, (double)var19, (double)var20);
    double var22 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var15, (double)var18);
    var12.set((double)var18);
    java.lang.Double[] var24 = new java.lang.Double[] { var18};
    org.apache.commons.math.linear.OpenMapRealVector var25 = new org.apache.commons.math.linear.OpenMapRealVector(var24);
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    double[] var27 = new double[] { var26};
    org.apache.commons.math.linear.OpenMapRealVector var28 = new org.apache.commons.math.linear.OpenMapRealVector(var27);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    double[] var30 = new double[] { var29};
    org.apache.commons.math.linear.OpenMapRealVector var31 = new org.apache.commons.math.linear.OpenMapRealVector(var30);
    org.apache.commons.math.linear.OpenMapRealVector var32 = var28.add(var31);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    double[] var34 = new double[] { var33};
    org.apache.commons.math.linear.OpenMapRealVector var35 = new org.apache.commons.math.linear.OpenMapRealVector(var34);
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    double[] var37 = new double[] { var36};
    org.apache.commons.math.linear.OpenMapRealVector var38 = new org.apache.commons.math.linear.OpenMapRealVector(var37);
    org.apache.commons.math.linear.OpenMapRealVector var39 = var35.add(var38);
    double var40 = var31.dotProduct(var38);
    org.apache.commons.math.linear.RealVector var41 = var38.mapAtanToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var42 = var38.copy();
    java.lang.Double var43 = new java.lang.Double(0.0d);
    java.lang.Double var44 = new java.lang.Double((-1.0d));
    java.lang.Double var45 = new java.lang.Double((-1.0d));
    int var46 = org.apache.commons.math.util.MathUtils.compareTo((double)var43, (double)var44, (double)var45);
    org.apache.commons.math.linear.RealVector var47 = var38.mapMultiply((double)var44);
    org.apache.commons.math.linear.RealVector var48 = var38.mapFloor();
    org.apache.commons.math.linear.OpenMapRealVector var49 = var25.append(var38);
    java.lang.Double var50 = new java.lang.Double((-1.0d));
    double[] var51 = new double[] { var50};
    org.apache.commons.math.linear.OpenMapRealVector var52 = new org.apache.commons.math.linear.OpenMapRealVector(var51);
    java.lang.Double var53 = new java.lang.Double((-1.0d));
    double[] var54 = new double[] { var53};
    org.apache.commons.math.linear.OpenMapRealVector var55 = new org.apache.commons.math.linear.OpenMapRealVector(var54);
    org.apache.commons.math.linear.OpenMapRealVector var56 = var52.add(var55);
    java.lang.Double var57 = new java.lang.Double((-1.0d));
    double[] var58 = new double[] { var57};
    org.apache.commons.math.linear.OpenMapRealVector var59 = new org.apache.commons.math.linear.OpenMapRealVector(var58);
    java.lang.Double var60 = new java.lang.Double((-1.0d));
    double[] var61 = new double[] { var60};
    org.apache.commons.math.linear.OpenMapRealVector var62 = new org.apache.commons.math.linear.OpenMapRealVector(var61);
    org.apache.commons.math.linear.OpenMapRealVector var63 = var59.add(var62);
    org.apache.commons.math.linear.OpenMapRealVector var64 = new org.apache.commons.math.linear.OpenMapRealVector(var63);
    boolean var65 = var64.isNaN();
    org.apache.commons.math.linear.RealVector var66 = var55.projection((org.apache.commons.math.linear.RealVector)var64);
    double var67 = var38.getL1Distance(var64);
    double[] var68 = var38.toArray();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var47 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var48 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var49 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var51 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var54 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var56 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var58 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var61 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var63 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var66 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var68 == null);

  }

  public void test166() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var9.mapAsinToSelf();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(0.0d);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var12, var13, var14};
    org.apache.commons.math.linear.ArrayRealVector var16 = new org.apache.commons.math.linear.ArrayRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    org.apache.commons.math.linear.RealVector var22 = var16.ebeDivide((org.apache.commons.math.linear.RealVector)var21);
    org.apache.commons.math.linear.RealVector var23 = var16.mapRintToSelf();
    org.apache.commons.math.linear.ArrayRealVector var24 = var9.ebeDivide(var16);
    org.apache.commons.math.linear.RealVector var25 = var9.mapLog1pToSelf();
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    java.lang.Double var27 = new java.lang.Double(10.0d);
    java.lang.Double var28 = new java.lang.Double(1.0d);
    java.lang.Double var29 = new java.lang.Double(1.0d);
    boolean var30 = org.apache.commons.math.util.MathUtils.equals((double)var28, (double)var29);
    int var31 = org.apache.commons.math.util.MathUtils.compareTo((double)var26, (double)var27, (double)var28);
    org.apache.commons.math.linear.RealVector var32 = var9.mapPow((double)var27);
    org.apache.commons.math.linear.RealVector var33 = var9.mapInvToSelf();
    org.apache.commons.math.linear.RealVector var34 = var9.mapTanToSelf();
    org.apache.commons.math.linear.RealVector var35 = var9.mapTan();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);

  }

  public void test167() throws Throwable {

    java.lang.Integer var0 = new java.lang.Integer(100);
    java.lang.Double var1 = new java.lang.Double((-1.0d));
    java.lang.Double var2 = new java.lang.Double(10.0d);
    java.lang.Double var3 = new java.lang.Double(100.0d);
    int var4 = org.apache.commons.math.util.MathUtils.compareTo((double)var1, (double)var2, (double)var3);
    java.lang.Integer var5 = new java.lang.Integer(0);
    java.lang.Long var6 = new java.lang.Long(100L);
    int var7 = org.apache.commons.math.util.MathUtils.pow((int)var5, (long)var6);
    int var8 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var4, (int)var5);
    int var9 = org.apache.commons.math.util.MathUtils.pow((int)var0, (int)var4);
    double var10 = org.apache.commons.math.util.MathUtils.factorialDouble((int)var0);

  }

  public void test168() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp[] var9 = var8.getPiSplit();
    org.apache.commons.math.dfp.Dfp var10 = var8.getSqr2();
    var8.clearIEEEFlags();
    org.apache.commons.math.dfp.Dfp var12 = var8.getZero();
    org.apache.commons.math.dfp.Dfp var13 = org.apache.commons.math.dfp.DfpMath.asin(var12);
    int var14 = var13.log10();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);

  }

  public void test169() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    int var11 = var4.getMaxIndex();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    boolean var18 = org.apache.commons.math.util.MathUtils.equals((double)var16, (double)var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    boolean var23 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var14, (double)var17, (double)var21);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var24 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var11, var23);
    java.lang.String var25 = var24.toString();
    var24.clear();
    java.lang.Double var27 = new java.lang.Double((-1.0d));
    java.lang.Double var28 = new java.lang.Double(0.0d);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    double[] var30 = new double[] { var27, var28, var29};
    org.apache.commons.math.linear.ArrayRealVector var31 = new org.apache.commons.math.linear.ArrayRealVector(var30);
    java.lang.Double var32 = new java.lang.Double((-1.0d));
    java.lang.Double var33 = new java.lang.Double(0.0d);
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    double[] var35 = new double[] { var32, var33, var34};
    org.apache.commons.math.linear.ArrayRealVector var36 = new org.apache.commons.math.linear.ArrayRealVector(var35);
    org.apache.commons.math.linear.RealVector var37 = var31.ebeDivide((org.apache.commons.math.linear.RealVector)var36);
    int var38 = var31.getMaxIndex();
    java.lang.Double var39 = new java.lang.Double((-1.0d));
    java.lang.Double var40 = new java.lang.Double(10.0d);
    java.lang.Double var41 = new java.lang.Double(100.0d);
    int var42 = org.apache.commons.math.util.MathUtils.compareTo((double)var39, (double)var40, (double)var41);
    java.lang.Double var43 = new java.lang.Double(1.0d);
    java.lang.Double var44 = new java.lang.Double(1.0d);
    boolean var45 = org.apache.commons.math.util.MathUtils.equals((double)var43, (double)var44);
    java.lang.Double var46 = new java.lang.Double((-1.0d));
    java.lang.Double var47 = new java.lang.Double(10.0d);
    java.lang.Double var48 = new java.lang.Double(100.0d);
    int var49 = org.apache.commons.math.util.MathUtils.compareTo((double)var46, (double)var47, (double)var48);
    boolean var50 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var41, (double)var44, (double)var48);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var51 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var38, var50);
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var52 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation(var50);
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var53 = new org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] { var52};
    var24.setSumsqImpl(var53);
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var55 = var24.getMinImpl();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var53 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var55 == null);

  }

  public void test170() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var7};
    org.apache.commons.math.linear.OpenMapRealVector var9 = new org.apache.commons.math.linear.OpenMapRealVector(var8);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var10};
    org.apache.commons.math.linear.OpenMapRealVector var12 = new org.apache.commons.math.linear.OpenMapRealVector(var11);
    org.apache.commons.math.linear.OpenMapRealVector var13 = var9.add(var12);
    org.apache.commons.math.linear.OpenMapRealVector var14 = new org.apache.commons.math.linear.OpenMapRealVector(var13);
    org.apache.commons.math.linear.OpenMapRealVector var15 = var2.add(var13);
    java.lang.Double var16 = new java.lang.Double((-1.0d));
    double[] var17 = new double[] { var16};
    org.apache.commons.math.linear.OpenMapRealVector var18 = new org.apache.commons.math.linear.OpenMapRealVector(var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var19};
    org.apache.commons.math.linear.OpenMapRealVector var21 = new org.apache.commons.math.linear.OpenMapRealVector(var20);
    org.apache.commons.math.linear.OpenMapRealVector var22 = var18.add(var21);
    org.apache.commons.math.linear.RealVector var23 = var22.mapAtanToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var24 = var15.append((org.apache.commons.math.linear.RealVector)var22);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);

  }

  public void test171() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var9.mapAsinToSelf();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(0.0d);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var12, var13, var14};
    org.apache.commons.math.linear.ArrayRealVector var16 = new org.apache.commons.math.linear.ArrayRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    org.apache.commons.math.linear.RealVector var22 = var16.ebeDivide((org.apache.commons.math.linear.RealVector)var21);
    org.apache.commons.math.linear.RealVector var23 = var16.mapRintToSelf();
    org.apache.commons.math.linear.ArrayRealVector var24 = var9.ebeDivide(var16);
    double[] var25 = var24.toArray();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);

  }

  public void test172() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var9.mapAsinToSelf();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(0.0d);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var12, var13, var14};
    org.apache.commons.math.linear.ArrayRealVector var16 = new org.apache.commons.math.linear.ArrayRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    org.apache.commons.math.linear.RealVector var22 = var16.ebeDivide((org.apache.commons.math.linear.RealVector)var21);
    org.apache.commons.math.linear.RealVector var23 = var16.mapRintToSelf();
    org.apache.commons.math.linear.ArrayRealVector var24 = var9.ebeDivide(var16);
    org.apache.commons.math.linear.RealVector var25 = var9.mapLog1pToSelf();
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    java.lang.Double var27 = new java.lang.Double(10.0d);
    java.lang.Double var28 = new java.lang.Double(1.0d);
    java.lang.Double var29 = new java.lang.Double(1.0d);
    boolean var30 = org.apache.commons.math.util.MathUtils.equals((double)var28, (double)var29);
    int var31 = org.apache.commons.math.util.MathUtils.compareTo((double)var26, (double)var27, (double)var28);
    org.apache.commons.math.linear.RealVector var32 = var9.mapPow((double)var27);
    org.apache.commons.math.linear.RealVector var33 = var9.mapSin();
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    java.lang.Double var35 = new java.lang.Double(0.0d);
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    double[] var37 = new double[] { var34, var35, var36};
    org.apache.commons.math.linear.ArrayRealVector var38 = new org.apache.commons.math.linear.ArrayRealVector(var37);
    java.lang.Double var39 = new java.lang.Double((-1.0d));
    java.lang.Double var40 = new java.lang.Double(0.0d);
    java.lang.Double var41 = new java.lang.Double((-1.0d));
    double[] var42 = new double[] { var39, var40, var41};
    org.apache.commons.math.linear.ArrayRealVector var43 = new org.apache.commons.math.linear.ArrayRealVector(var42);
    org.apache.commons.math.linear.RealVector var44 = var38.ebeDivide((org.apache.commons.math.linear.RealVector)var43);
    org.apache.commons.math.linear.RealVector var45 = var38.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var46 = var38.mapInvToSelf();
    double var47 = var9.getL1Distance(var46);
    java.lang.Double var48 = new java.lang.Double((-1.0d));
    java.lang.Double var49 = new java.lang.Double(0.0d);
    java.lang.Double var50 = new java.lang.Double((-1.0d));
    double[] var51 = new double[] { var48, var49, var50};
    org.apache.commons.math.linear.ArrayRealVector var52 = new org.apache.commons.math.linear.ArrayRealVector(var51);
    java.lang.Double var53 = new java.lang.Double((-1.0d));
    java.lang.Double var54 = new java.lang.Double(0.0d);
    java.lang.Double var55 = new java.lang.Double((-1.0d));
    double[] var56 = new double[] { var53, var54, var55};
    org.apache.commons.math.linear.ArrayRealVector var57 = new org.apache.commons.math.linear.ArrayRealVector(var56);
    org.apache.commons.math.linear.RealVector var58 = var52.ebeDivide((org.apache.commons.math.linear.RealVector)var57);
    org.apache.commons.math.linear.RealVector var59 = var57.mapAsinToSelf();
    java.lang.Double var60 = new java.lang.Double((-1.0d));
    java.lang.Double var61 = new java.lang.Double(0.0d);
    java.lang.Double var62 = new java.lang.Double((-1.0d));
    double[] var63 = new double[] { var60, var61, var62};
    org.apache.commons.math.linear.ArrayRealVector var64 = new org.apache.commons.math.linear.ArrayRealVector(var63);
    java.lang.Double var65 = new java.lang.Double((-1.0d));
    java.lang.Double var66 = new java.lang.Double(0.0d);
    java.lang.Double var67 = new java.lang.Double((-1.0d));
    double[] var68 = new double[] { var65, var66, var67};
    org.apache.commons.math.linear.ArrayRealVector var69 = new org.apache.commons.math.linear.ArrayRealVector(var68);
    org.apache.commons.math.linear.RealVector var70 = var64.ebeDivide((org.apache.commons.math.linear.RealVector)var69);
    org.apache.commons.math.linear.RealVector var71 = var64.mapRintToSelf();
    org.apache.commons.math.linear.ArrayRealVector var72 = var57.ebeDivide(var64);
    org.apache.commons.math.linear.RealVector var73 = var57.mapLog1pToSelf();
    org.apache.commons.math.linear.RealVector var74 = var57.mapExpToSelf();
    org.apache.commons.math.linear.RealVector var75 = var57.mapLogToSelf();
    org.apache.commons.math.linear.RealMatrix var76 = var9.outerProduct((org.apache.commons.math.linear.RealVector)var57);
    org.apache.commons.math.linear.RealVector var77 = var9.mapFloor();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var45 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var46 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var51 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var56 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var58 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var59 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var63 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var68 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var70 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var71 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var72 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var73 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var74 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var75 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var76 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var77 == null);

  }

}
